[FreeCourseSite.com] Udemy - Customer Analytics in Python 2022

Creation Time	Oct. 7, 2024, 9 a.m.
Last Access Time	July 27, 2025, 12:45 p.m.
File Size	1.5 GB
Keywords	Customer FreeCourseSite Python - Udemy Analytics 2022 in com
Total Requests	89
Total Files	658
Magnet Link	Please wait ...
	Download (Magnet Link) Play (Watch Online)

2 - A Brief Marketing Introduction/3 - Marketing Mix.mp4 84.7 MB
1 - Introduction/1 - What Does the Course Cover.mp4 79.7 MB
2 - A Brief Marketing Introduction/2 - Segmentation Targeting and Positioning.mp4 77.3 MB
8 - Purchase Data/31 - Getting to know the Purchase Dataset.mp4 64.3 MB
12 - Modeling Purchase Quantity/60 - Preparing the Data and Fitting the Model.mp4 59.7 MB
2 - A Brief Marketing Introduction/5 - Price Elasticity.mp4 56.0 MB
13 - Deep Learning for Conversion Prediction/66 - Exploring the Dataset.mp4 49.9 MB
13 - Deep Learning for Conversion Prediction/71 - Training the Deep Learning Model.mp4 49.9 MB
4 - Segmentation Data/15 - Importing and Exploring Segmentation Data.mp4 43.2 MB
7 - KMeans Clustering based on Principal Component Analysis/27 - K.mp4 40.8 MB
6 - KMeans Clustering/21 - K.mp4 36.6 MB
11 - Modeling Brand Choice/55 - Own and Cross.mp4 34.2 MB
13 - Deep Learning for Conversion Prediction/75 - Predicting on New Data.mp4 32.0 MB
10 - Modeling Purchase Incidence/44 - Purchase Probability by Segments.mp4 32.0 MB
13 - Deep Learning for Conversion Prediction/73 - Obtaining the Probability of a Customer to Convert.mp4 31.7 MB
9 - Descriptive Analyses by Segments/38 - Dissecting the Revenue by Segment.mp4 31.6 MB
13 - Deep Learning for Conversion Prediction/65 - Introduction to Deep Learning for Customer Analytics.mp4 30.9 MB
5 - Hierarchical Clustering/18 - Hierarchical Clustering Implementation and Results.mp4 30.0 MB
13 - Deep Learning for Conversion Prediction/72 - Testing the Model.mp4 29.3 MB
13 - Deep Learning for Conversion Prediction/69 - Preprocessing the Data for Deep Learning.mp4 28.2 MB
2 - A Brief Marketing Introduction/4 - Physical and Online Retailers Similarities and Differences.mp4 27.7 MB
4 - Segmentation Data/14 - Getting to know the Segmentation Dataset.mp4 27.0 MB
11 - Modeling Brand Choice/54 - Cross Price Brand Choice Elasticity.mp4 26.1 MB
9 - Descriptive Analyses by Segments/34 - Segment Proportions.mp4 25.8 MB
11 - Modeling Brand Choice/53 - Own Price Brand Choice Elasticity.mp4 25.6 MB
6 - KMeans Clustering/20 - KMeans Clustering Implementation.mp4 23.9 MB
11 - Modeling Brand Choice/57 - Own and Cross.mp4 23.0 MB
13 - Deep Learning for Conversion Prediction/68 - Why do We Need to Balance a Dataset.mp4 21.6 MB
10 - Modeling Purchase Incidence/41 - Model Estimation.mp4 21.5 MB
9 - Descriptive Analyses by Segments/37 - Brand Choice.mp4 20.5 MB
12 - Modeling Purchase Quantity/61 - Calculating Price Elasticity of Purchase Quantity.mp4 20.2 MB
4 - Segmentation Data/16 - Standardizing Segmentation Data.mp4 19.8 MB
10 - Modeling Purchase Incidence/42 - Calculating Price Elasticity of Purchase Probability.mp4 19.3 MB
7 - KMeans Clustering based on Principal Component Analysis/23 - Principal Component Analysis Application.mp4 18.6 MB
9 - Descriptive Analyses by Segments/35 - Purchase Occasion and Purchase Incidence.mp4 18.4 MB
7 - KMeans Clustering based on Principal Component Analysis/25 - Principal Component Analysis Results.mp4 17.9 MB
10 - Modeling Purchase Incidence/43 - Price Elasticity of Purchase Probability Results.mp4 16.6 MB
8 - Purchase Data/33 - Applying the Segmentation Model.mp4 15.4 MB
10 - Modeling Purchase Incidence/49 - Comparing Price Elasticities with and without Promotion.mp4 14.9 MB
13 - Deep Learning for Conversion Prediction/70 - Outlining the Deep Learning Model.mp4 14.8 MB
11 - Modeling Brand Choice/52 - Interpreting the Coefficients.mp4 13.2 MB
11 - Modeling Brand Choice/50 - Brand Choice Models The Model Multinomial Logistic Regression.mp4 12.8 MB
3 - Setting up the Environment/10 - Jupyter Dashboard.mp4 12.3 MB
7 - KMeans Clustering based on Principal Component Analysis/29 - Saving the Models.mp4 12.1 MB
12 - Modeling Purchase Quantity/63 - Price Elasticity of Purchase Quantity Results.mp4 11.8 MB
6 - KMeans Clustering/19 - K.mp4 10.5 MB
8 - Purchase Data/30 - Purchase Analytics Introduction.mp4 10.5 MB
5 - Hierarchical Clustering/17 - Hierarchical Clustering Background.mp4 10.4 MB
3 - Setting up the Environment/8 - Installing Anaconda.mp4 10.1 MB
3 - Setting up the Environment/7 - Why Python and Why Jupyter.mp4 9.8 MB
10 - Modeling Purchase Incidence/47 - Calculating Price Elasticities with Promotion.mp4 9.5 MB
11 - Modeling Brand Choice/51 - Prepare Data and Fit the Model.mp4 8.7 MB
13 - Deep Learning for Conversion Prediction/74 - Saving the Model and Preparing for Deployment.mp4 8.3 MB
7 - KMeans Clustering based on Principal Component Analysis/26 - K.mp4 7.9 MB
10 - Modeling Purchase Incidence/39 - The Model Binomial Logistic Regression.mp4 7.3 MB
10 - Modeling Purchase Incidence/46 - Purchase Probability Model with Promotion.mp4 6.2 MB
12 - Modeling Purchase Quantity/59 - Purchase Quantity Models The Model Linear Regression.mp4 5.2 MB
7 - KMeans Clustering based on Principal Component Analysis/22 - Principal Component Analysis Background.mp4 4.9 MB
3 - Setting up the Environment/9 - Jupyter Dashboard.mp4 4.5 MB
8 - Purchase Data/32 - Importing and Exploring Purchase Data.mp4 4.2 MB
10 - Modeling Purchase Incidence/40 - Prepare the Dataset for Logistic Regression.mp4 3.7 MB
3 - Setting up the Environment/11 - Installing the Relevant Packages.mp4 3.1 MB
13 - Deep Learning for Conversion Prediction/67 - How Are We Going to Tackle the Business Case.mp4 1.9 MB
3 - Setting up the Environment/6 - Setting up the Environment.mp4 1.8 MB
2 - A Brief Marketing Introduction/2 - CustomerAnalyticsCourseNotes.pdf 971.4 KB
2 - A Brief Marketing Introduction/3 - CustomerAnalyticsCourseNotes.pdf 971.4 KB
4 - Segmentation Data/14 - CustomerAnalyticsCourseNotes.pdf 971.4 KB
5 - Hierarchical Clustering/17 - CustomerAnalyticsCourseNotes.pdf 971.4 KB
6 - KMeans Clustering/19 - CustomerAnalyticsCourseNotes.pdf 971.4 KB
7 - KMeans Clustering based on Principal Component Analysis/22 - CustomerAnalyticsCourseNotes.pdf 971.4 KB
13 - Deep Learning for Conversion Prediction/66 - Audiobooksdata.csv 625.2 KB
13 - Deep Learning for Conversion Prediction/67 - Audiobooksdata.csv 625.2 KB
10 - Modeling Purchase Incidence/42 - CustomerAnalyticsPriceElasticityFormulasDerivation.pdf 297.5 KB
10 - Modeling Purchase Incidence/43 - CustomerAnalyticsPriceElasticityFormulasDerivation.pdf 297.5 KB
11 - Modeling Brand Choice/54 - CustomerAnalyticsPriceElasticityFormulasDerivation.pdf 297.5 KB
11 - Modeling Brand Choice/55 - CustomerAnalyticsPriceElasticityFormulasDerivation.pdf 297.5 KB
4 - Segmentation Data/15 - Importing and Exploring Segmentation Data French.vtt 12.7 KB
4 - Segmentation Data/15 - Importing and Exploring Segmentation Data German.vtt 12.4 KB
12 - Modeling Purchase Quantity/60 - Preparing the Data and Fitting the Model French.vtt 12.4 KB
4 - Segmentation Data/15 - Importing and Exploring Segmentation Data Spanish.vtt 12.1 KB
13 - Deep Learning for Conversion Prediction/69 - Preprocessing the Data for Deep Learning French.vtt 12.1 KB
4 - Segmentation Data/15 - Importing and Exploring Segmentation Data Portuguese.vtt 12.0 KB
12 - Modeling Purchase Quantity/60 - Preparing the Data and Fitting the Model German.vtt 12.0 KB
13 - Deep Learning for Conversion Prediction/71 - Training the Deep Learning Model German.vtt 11.9 KB
13 - Deep Learning for Conversion Prediction/71 - Training the Deep Learning Model French.vtt 11.9 KB
12 - Modeling Purchase Quantity/60 - Preparing the Data and Fitting the Model Spanish.vtt 11.9 KB
4 - Segmentation Data/15 - Importing and Exploring Segmentation Data Italian.vtt 11.8 KB
13 - Deep Learning for Conversion Prediction/69 - Preprocessing the Data for Deep Learning German.vtt 11.8 KB
12 - Modeling Purchase Quantity/60 - Preparing the Data and Fitting the Model Italian.vtt 11.8 KB
13 - Deep Learning for Conversion Prediction/69 - Preprocessing the Data for Deep Learning Spanish.vtt 11.7 KB
13 - Deep Learning for Conversion Prediction/71 - Training the Deep Learning Model Spanish.vtt 11.7 KB
13 - Deep Learning for Conversion Prediction/71 - Training the Deep Learning Model Italian.vtt 11.7 KB
4 - Segmentation Data/15 - Importing and Exploring Segmentation Data Indonesian.vtt 11.7 KB
12 - Modeling Purchase Quantity/60 - Preparing the Data and Fitting the Model Portuguese.vtt 11.5 KB
12 - Modeling Purchase Quantity/60 - Preparing the Data and Fitting the Model Indonesian.vtt 11.5 KB
13 - Deep Learning for Conversion Prediction/71 - Training the Deep Learning Model Portuguese.vtt 11.4 KB
13 - Deep Learning for Conversion Prediction/71 - Training the Deep Learning Model Indonesian.vtt 11.4 KB
13 - Deep Learning for Conversion Prediction/69 - Preprocessing the Data for Deep Learning Portuguese.vtt 11.4 KB
13 - Deep Learning for Conversion Prediction/69 - Preprocessing the Data for Deep Learning Italian.vtt 11.3 KB
2 - A Brief Marketing Introduction/3 - Marketing Mix French.vtt 11.1 KB
4 - Segmentation Data/15 - Importing and Exploring Segmentation Data English.vtt 11.1 KB
12 - Modeling Purchase Quantity/60 - Preparing the Data and Fitting the Model English.vtt 11.0 KB
13 - Deep Learning for Conversion Prediction/69 - Preprocessing the Data for Deep Learning Indonesian.vtt 10.9 KB
13 - Deep Learning for Conversion Prediction/69 - Preprocessing the Data for Deep Learning English.vtt 10.9 KB
2 - A Brief Marketing Introduction/3 - Marketing Mix Spanish.vtt 10.8 KB
2 - A Brief Marketing Introduction/3 - Marketing Mix German.vtt 10.8 KB
2 - A Brief Marketing Introduction/3 - Marketing Mix Italian.vtt 10.6 KB
13 - Deep Learning for Conversion Prediction/71 - Training the Deep Learning Model English.vtt 10.5 KB
13 - Deep Learning for Conversion Prediction/66 - Exploring the Dataset German.vtt 10.4 KB
2 - A Brief Marketing Introduction/3 - Marketing Mix Portuguese.vtt 10.3 KB
13 - Deep Learning for Conversion Prediction/66 - Exploring the Dataset French.vtt 10.3 KB
2 - A Brief Marketing Introduction/3 - Marketing Mix Indonesian.vtt 10.0 KB
13 - Deep Learning for Conversion Prediction/66 - Exploring the Dataset Italian.vtt 10.0 KB
10 - Modeling Purchase Incidence/44 - Purchase Probability by Segments French.vtt 10.0 KB
13 - Deep Learning for Conversion Prediction/66 - Exploring the Dataset Spanish.vtt 10.0 KB
9 - Descriptive Analyses by Segments/38 - Dissecting the Revenue by Segment French.vtt 9.9 KB
13 - Deep Learning for Conversion Prediction/66 - Exploring the Dataset Indonesian.vtt 9.8 KB
10 - Modeling Purchase Incidence/44 - Purchase Probability by Segments German.vtt 9.8 KB
2 - A Brief Marketing Introduction/3 - Marketing Mix English.vtt 9.7 KB
1 - Introduction/1 - What Does the Course Cover French.vtt 9.7 KB
6 - KMeans Clustering/21 - K German.vtt 9.7 KB
6 - KMeans Clustering/21 - K French.vtt 9.7 KB
13 - Deep Learning for Conversion Prediction/66 - Exploring the Dataset Portuguese.vtt 9.6 KB
9 - Descriptive Analyses by Segments/38 - Dissecting the Revenue by Segment Spanish.vtt 9.6 KB
9 - Descriptive Analyses by Segments/38 - Dissecting the Revenue by Segment German.vtt 9.6 KB
10 - Modeling Purchase Incidence/44 - Purchase Probability by Segments Spanish.vtt 9.6 KB
2 - A Brief Marketing Introduction/5 - Price Elasticity French.vtt 9.6 KB
2 - A Brief Marketing Introduction/5 - Price Elasticity German.vtt 9.5 KB
9 - Descriptive Analyses by Segments/38 - Dissecting the Revenue by Segment Indonesian.vtt 9.5 KB
10 - Modeling Purchase Incidence/44 - Purchase Probability by Segments Italian.vtt 9.5 KB
9 - Descriptive Analyses by Segments/38 - Dissecting the Revenue by Segment Italian.vtt 9.5 KB
2 - A Brief Marketing Introduction/5 - Price Elasticity Spanish.vtt 9.4 KB
2 - A Brief Marketing Introduction/5 - Price Elasticity Italian.vtt 9.4 KB
10 - Modeling Purchase Incidence/44 - Purchase Probability by Segments Indonesian.vtt 9.4 KB
7 - KMeans Clustering based on Principal Component Analysis/27 - K French.vtt 9.4 KB
1 - Introduction/1 - What Does the Course Cover German.vtt 9.4 KB
10 - Modeling Purchase Incidence/44 - Purchase Probability by Segments Portuguese.vtt 9.4 KB
9 - Descriptive Analyses by Segments/34 - Segment Proportions French.vtt 9.3 KB
6 - KMeans Clustering/21 - K Spanish.vtt 9.3 KB
5 - Hierarchical Clustering/18 - Hierarchical Clustering Implementation and Results French.vtt 9.3 KB
2 - A Brief Marketing Introduction/4 - Physical and Online Retailers Similarities and Differences French.vtt 9.3 KB
1 - Introduction/1 - What Does the Course Cover Spanish.vtt 9.2 KB
1 - Introduction/1 - What Does the Course Cover Indonesian.vtt 9.2 KB
7 - KMeans Clustering based on Principal Component Analysis/27 - K German.vtt 9.2 KB
6 - KMeans Clustering/21 - K Italian.vtt 9.2 KB
6 - KMeans Clustering/21 - K Indonesian.vtt 9.2 KB
6 - KMeans Clustering/21 - K Portuguese.vtt 9.1 KB
1 - Introduction/1 - What Does the Course Cover Portuguese.vtt 9.1 KB
2 - A Brief Marketing Introduction/5 - Price Elasticity Portuguese.vtt 9.1 KB
9 - Descriptive Analyses by Segments/38 - Dissecting the Revenue by Segment Portuguese.vtt 9.1 KB
5 - Hierarchical Clustering/18 - Hierarchical Clustering Implementation and Results German.vtt 9.1 KB
9 - Descriptive Analyses by Segments/34 - Segment Proportions German.vtt 9.1 KB
2 - A Brief Marketing Introduction/5 - Price Elasticity Indonesian.vtt 9.1 KB
13 - Deep Learning for Conversion Prediction/66 - Exploring the Dataset English.vtt 9.1 KB
1 - Introduction/1 - What Does the Course Cover Italian.vtt 9.0 KB
9 - Descriptive Analyses by Segments/34 - Segment Proportions Spanish.vtt 9.0 KB
2 - A Brief Marketing Introduction/5 - Price Elasticity English.vtt 9.0 KB
7 - KMeans Clustering based on Principal Component Analysis/27 - K Spanish.vtt 9.0 KB
2 - A Brief Marketing Introduction/2 - Segmentation Targeting and Positioning French.vtt 8.9 KB
2 - A Brief Marketing Introduction/2 - Segmentation Targeting and Positioning Spanish.vtt 8.9 KB
10 - Modeling Purchase Incidence/44 - Purchase Probability by Segments English.vtt 8.9 KB
9 - Descriptive Analyses by Segments/34 - Segment Proportions Italian.vtt 8.8 KB
5 - Hierarchical Clustering/18 - Hierarchical Clustering Implementation and Results Spanish.vtt 8.8 KB
9 - Descriptive Analyses by Segments/34 - Segment Proportions Indonesian.vtt 8.8 KB
9 - Descriptive Analyses by Segments/38 - Dissecting the Revenue by Segment English.vtt 8.8 KB
5 - Hierarchical Clustering/18 - Hierarchical Clustering Implementation and Results Indonesian.vtt 8.8 KB
5 - Hierarchical Clustering/18 - Hierarchical Clustering Implementation and Results Italian.vtt 8.8 KB
11 - Modeling Brand Choice/57 - Own and Cross German.vtt 8.8 KB
7 - KMeans Clustering based on Principal Component Analysis/27 - K Italian.vtt 8.8 KB
9 - Descriptive Analyses by Segments/34 - Segment Proportions Portuguese.vtt 8.7 KB
7 - KMeans Clustering based on Principal Component Analysis/27 - K Indonesian.vtt 8.7 KB
11 - Modeling Brand Choice/54 - Cross Price Brand Choice Elasticity French.vtt 8.7 KB
7 - KMeans Clustering based on Principal Component Analysis/27 - K Portuguese.vtt 8.7 KB
2 - A Brief Marketing Introduction/2 - Segmentation Targeting and Positioning Italian.vtt 8.7 KB
2 - A Brief Marketing Introduction/4 - Physical and Online Retailers Similarities and Differences German.vtt 8.7 KB
2 - A Brief Marketing Introduction/4 - Physical and Online Retailers Similarities and Differences Spanish.vtt 8.7 KB
10 - Modeling Purchase Incidence/42 - Calculating Price Elasticity of Purchase Probability German.vtt 8.7 KB
2 - A Brief Marketing Introduction/2 - Segmentation Targeting and Positioning German.vtt 8.7 KB
10 - Modeling Purchase Incidence/42 - Calculating Price Elasticity of Purchase Probability French.vtt 8.6 KB
2 - A Brief Marketing Introduction/2 - Segmentation Targeting and Positioning Portuguese.vtt 8.6 KB
11 - Modeling Brand Choice/57 - Own and Cross Italian.vtt 8.6 KB
11 - Modeling Brand Choice/54 - Cross Price Brand Choice Elasticity Spanish.vtt 8.6 KB
11 - Modeling Brand Choice/57 - Own and Cross French.vtt 8.6 KB
11 - Modeling Brand Choice/57 - Own and Cross Spanish.vtt 8.5 KB
1 - Introduction/1 - What Does the Course Cover English.vtt 8.5 KB
6 - KMeans Clustering/21 - K English.vtt 8.5 KB
11 - Modeling Brand Choice/54 - Cross Price Brand Choice Elasticity Italian.vtt 8.5 KB
8 - Purchase Data/31 - Getting to know the Purchase Dataset French.vtt 8.5 KB
5 - Hierarchical Clustering/18 - Hierarchical Clustering Implementation and Results Portuguese.vtt 8.5 KB
11 - Modeling Brand Choice/54 - Cross Price Brand Choice Elasticity German.vtt 8.5 KB
2 - A Brief Marketing Introduction/2 - Segmentation Targeting and Positioning Indonesian.vtt 8.4 KB
10 - Modeling Purchase Incidence/42 - Calculating Price Elasticity of Purchase Probability Spanish.vtt 8.4 KB
10 - Modeling Purchase Incidence/42 - Calculating Price Elasticity of Purchase Probability Italian.vtt 8.4 KB
9 - Descriptive Analyses by Segments/34 - Segment Proportions English.vtt 8.4 KB
2 - A Brief Marketing Introduction/4 - Physical and Online Retailers Similarities and Differences Italian.vtt 8.4 KB
11 - Modeling Brand Choice/55 - Own and Cross German.vtt 8.3 KB
10 - Modeling Purchase Incidence/42 - Calculating Price Elasticity of Purchase Probability Indonesian.vtt 8.3 KB
11 - Modeling Brand Choice/57 - Own and Cross Indonesian.vtt 8.3 KB
10 - Modeling Purchase Incidence/42 - Calculating Price Elasticity of Purchase Probability Portuguese.vtt 8.3 KB
2 - A Brief Marketing Introduction/4 - Physical and Online Retailers Similarities and Differences Portuguese.vtt 8.3 KB
11 - Modeling Brand Choice/54 - Cross Price Brand Choice Elasticity Portuguese.vtt 8.3 KB
10 - Modeling Purchase Incidence/43 - Price Elasticity of Purchase Probability Results German.vtt 8.3 KB
2 - A Brief Marketing Introduction/4 - Physical and Online Retailers Similarities and Differences Indonesian.vtt 8.2 KB
11 - Modeling Brand Choice/55 - Own and Cross French.vtt 8.2 KB
7 - KMeans Clustering based on Principal Component Analysis/27 - K English.vtt 8.2 KB
11 - Modeling Brand Choice/54 - Cross Price Brand Choice Elasticity Indonesian.vtt 8.2 KB
11 - Modeling Brand Choice/57 - Own and Cross Portuguese.vtt 8.2 KB
11 - Modeling Brand Choice/55 - Own and Cross Spanish.vtt 8.1 KB
10 - Modeling Purchase Incidence/43 - Price Elasticity of Purchase Probability Results French.vtt 8.1 KB
5 - Hierarchical Clustering/18 - Hierarchical Clustering Implementation and Results English.vtt 8.1 KB
8 - Purchase Data/31 - Getting to know the Purchase Dataset Spanish.vtt 8.1 KB
11 - Modeling Brand Choice/55 - Own and Cross Italian.vtt 8.1 KB
2 - A Brief Marketing Introduction/4 - Physical and Online Retailers Similarities and Differences English.vtt 8.1 KB
8 - Purchase Data/31 - Getting to know the Purchase Dataset Italian.vtt 8.1 KB
8 - Purchase Data/31 - Getting to know the Purchase Dataset German.vtt 8.1 KB
10 - Modeling Purchase Incidence/43 - Price Elasticity of Purchase Probability Results Spanish.vtt 8.0 KB
13 - Deep Learning for Conversion Prediction/75 - Predicting on New Data French.vtt 8.0 KB
11 - Modeling Brand Choice/57 - Own and Cross English.vtt 8.0 KB
2 - A Brief Marketing Introduction/2 - Segmentation Targeting and Positioning English.vtt 8.0 KB
10 - Modeling Purchase Incidence/42 - Calculating Price Elasticity of Purchase Probability English.vtt 7.9 KB
8 - Purchase Data/31 - Getting to know the Purchase Dataset Portuguese.vtt 7.9 KB
11 - Modeling Brand Choice/55 - Own and Cross Indonesian.vtt 7.9 KB
10 - Modeling Purchase Incidence/43 - Price Elasticity of Purchase Probability Results Italian.vtt 7.9 KB
9 - Descriptive Analyses by Segments/37 - Brand Choice French.vtt 7.8 KB
11 - Modeling Brand Choice/54 - Cross Price Brand Choice Elasticity English.vtt 7.8 KB
11 - Modeling Brand Choice/55 - Own and Cross Portuguese.vtt 7.8 KB
10 - Modeling Purchase Incidence/43 - Price Elasticity of Purchase Probability Results Indonesian.vtt 7.8 KB
10 - Modeling Purchase Incidence/43 - Price Elasticity of Purchase Probability Results Portuguese.vtt 7.7 KB
8 - Purchase Data/31 - Getting to know the Purchase Dataset Indonesian.vtt 7.7 KB
9 - Descriptive Analyses by Segments/37 - Brand Choice German.vtt 7.6 KB
9 - Descriptive Analyses by Segments/37 - Brand Choice Spanish.vtt 7.5 KB
8 - Purchase Data/31 - Getting to know the Purchase Dataset English.vtt 7.5 KB
9 - Descriptive Analyses by Segments/37 - Brand Choice Italian.vtt 7.5 KB
13 - Deep Learning for Conversion Prediction/75 - Predicting on New Data German.vtt 7.5 KB
11 - Modeling Brand Choice/55 - Own and Cross English.vtt 7.5 KB
13 - Deep Learning for Conversion Prediction/75 - Predicting on New Data Spanish.vtt 7.4 KB
10 - Modeling Purchase Incidence/43 - Price Elasticity of Purchase Probability Results English.vtt 7.4 KB
9 - Descriptive Analyses by Segments/37 - Brand Choice Portuguese.vtt 7.4 KB
9 - Descriptive Analyses by Segments/37 - Brand Choice Indonesian.vtt 7.3 KB
13 - Deep Learning for Conversion Prediction/75 - Predicting on New Data Italian.vtt 7.3 KB
13 - Deep Learning for Conversion Prediction/75 - Predicting on New Data Indonesian.vtt 7.2 KB
13 - Deep Learning for Conversion Prediction/75 - Predicting on New Data Portuguese.vtt 7.2 KB
6 - KMeans Clustering/20 - K French.vtt 7.1 KB
6 - KMeans Clustering/20 - K German.vtt 7.1 KB
3 - Setting up the Environment/10 - Jupyter Dashboard German.vtt 7.0 KB
3 - Setting up the Environment/10 - Jupyter Dashboard French.vtt 6.9 KB
11 - Modeling Brand Choice/53 - Own Price Brand Choice Elasticity French.vtt 6.8 KB
11 - Modeling Brand Choice/53 - Own Price Brand Choice Elasticity German.vtt 6.8 KB
9 - Descriptive Analyses by Segments/37 - Brand Choice English.vtt 6.8 KB
6 - KMeans Clustering/20 - K Spanish.vtt 6.7 KB
9 - Descriptive Analyses by Segments/35 - Purchase Occasion and Purchase Incidence Spanish.vtt 6.7 KB
9 - Descriptive Analyses by Segments/35 - Purchase Occasion and Purchase Incidence French.vtt 6.6 KB
9 - Descriptive Analyses by Segments/35 - Purchase Occasion and Purchase Incidence German.vtt 6.6 KB
13 - Deep Learning for Conversion Prediction/75 - Predicting on New Data English.vtt 6.6 KB
6 - KMeans Clustering/20 - K Indonesian.vtt 6.6 KB
11 - Modeling Brand Choice/53 - Own Price Brand Choice Elasticity Spanish.vtt 6.6 KB
6 - KMeans Clustering/20 - K Portuguese.vtt 6.6 KB
11 - Modeling Brand Choice/53 - Own Price Brand Choice Elasticity Italian.vtt 6.6 KB
6 - KMeans Clustering/20 - K Italian.vtt 6.6 KB
8 - Purchase Data/33 - Applying the Segmentation Model French.vtt 6.5 KB
3 - Setting up the Environment/10 - Jupyter Dashboard Italian.vtt 6.5 KB
9 - Descriptive Analyses by Segments/35 - Purchase Occasion and Purchase Incidence Italian.vtt 6.5 KB
3 - Setting up the Environment/7 - Why Python and Why Jupyter French.vtt 6.5 KB
3 - Setting up the Environment/10 - Jupyter Dashboard Indonesian.vtt 6.4 KB
9 - Descriptive Analyses by Segments/35 - Purchase Occasion and Purchase Incidence Indonesian.vtt 6.4 KB
9 - Descriptive Analyses by Segments/35 - Purchase Occasion and Purchase Incidence Portuguese.vtt 6.4 KB
3 - Setting up the Environment/10 - Jupyter Dashboard Spanish.vtt 6.4 KB
8 - Purchase Data/33 - Applying the Segmentation Model Spanish.vtt 6.3 KB
3 - Setting up the Environment/7 - Why Python and Why Jupyter German.vtt 6.3 KB
3 - Setting up the Environment/10 - Jupyter Dashboard Portuguese.vtt 6.3 KB
11 - Modeling Brand Choice/53 - Own Price Brand Choice Elasticity Portuguese.vtt 6.3 KB
8 - Purchase Data/33 - Applying the Segmentation Model German.vtt 6.3 KB
8 - Purchase Data/33 - Applying the Segmentation Model Italian.vtt 6.3 KB
11 - Modeling Brand Choice/53 - Own Price Brand Choice Elasticity Indonesian.vtt 6.3 KB
6 - KMeans Clustering/20 - K English.vtt 6.2 KB
8 - Purchase Data/33 - Applying the Segmentation Model Indonesian.vtt 6.2 KB
3 - Setting up the Environment/7 - Why Python and Why Jupyter Portuguese.vtt 6.1 KB
3 - Setting up the Environment/7 - Why Python and Why Jupyter Spanish.vtt 6.1 KB
9 - Descriptive Analyses by Segments/35 - Purchase Occasion and Purchase Incidence English.vtt 6.1 KB
8 - Purchase Data/33 - Applying the Segmentation Model Portuguese.vtt 6.1 KB
3 - Setting up the Environment/10 - Jupyter Dashboard English.vtt 6.1 KB
7 - KMeans Clustering based on Principal Component Analysis/25 - Principal Component Analysis Results French.vtt 6.0 KB
7 - KMeans Clustering based on Principal Component Analysis/25 - Principal Component Analysis Results German.vtt 6.0 KB
7 - KMeans Clustering based on Principal Component Analysis/23 - Principal Component Analysis Application French.vtt 6.0 KB
3 - Setting up the Environment/7 - Why Python and Why Jupyter Indonesian.vtt 6.0 KB
3 - Setting up the Environment/7 - Why Python and Why Jupyter Italian.vtt 6.0 KB
7 - KMeans Clustering based on Principal Component Analysis/23 - Principal Component Analysis Application German.vtt 6.0 KB
7 - KMeans Clustering based on Principal Component Analysis/25 - Principal Component Analysis Results Spanish.vtt 5.9 KB
11 - Modeling Brand Choice/53 - Own Price Brand Choice Elasticity English.vtt 5.9 KB
12 - Modeling Purchase Quantity/61 - Calculating Price Elasticity of Purchase Quantity French.vtt 5.8 KB
3 - Setting up the Environment/7 - Why Python and Why Jupyter English.vtt 5.8 KB
7 - KMeans Clustering based on Principal Component Analysis/25 - Principal Component Analysis Results Italian.vtt 5.8 KB
7 - KMeans Clustering based on Principal Component Analysis/23 - Principal Component Analysis Application Spanish.vtt 5.8 KB
7 - KMeans Clustering based on Principal Component Analysis/25 - Principal Component Analysis Results Portuguese.vtt 5.8 KB
12 - Modeling Purchase Quantity/61 - Calculating Price Elasticity of Purchase Quantity German.vtt 5.7 KB
12 - Modeling Purchase Quantity/61 - Calculating Price Elasticity of Purchase Quantity Italian.vtt 5.7 KB
7 - KMeans Clustering based on Principal Component Analysis/23 - Principal Component Analysis Application Indonesian.vtt 5.7 KB
7 - KMeans Clustering based on Principal Component Analysis/23 - Principal Component Analysis Application Italian.vtt 5.7 KB
12 - Modeling Purchase Quantity/61 - Calculating Price Elasticity of Purchase Quantity Spanish.vtt 5.6 KB
7 - KMeans Clustering based on Principal Component Analysis/25 - Principal Component Analysis Results Indonesian.vtt 5.5 KB
7 - KMeans Clustering based on Principal Component Analysis/23 - Principal Component Analysis Application Portuguese.vtt 5.5 KB
8 - Purchase Data/33 - Applying the Segmentation Model English.vtt 5.5 KB
12 - Modeling Purchase Quantity/61 - Calculating Price Elasticity of Purchase Quantity Portuguese.vtt 5.5 KB
13 - Deep Learning for Conversion Prediction/72 - Testing the Model French.vtt 5.5 KB
13 - Deep Learning for Conversion Prediction/72 - Testing the Model Spanish.vtt 5.5 KB
13 - Deep Learning for Conversion Prediction/72 - Testing the Model German.vtt 5.4 KB
12 - Modeling Purchase Quantity/61 - Calculating Price Elasticity of Purchase Quantity Indonesian.vtt 5.4 KB
7 - KMeans Clustering based on Principal Component Analysis/25 - Principal Component Analysis Results English.vtt 5.4 KB
13 - Deep Learning for Conversion Prediction/72 - Testing the Model Italian.vtt 5.3 KB
10 - Modeling Purchase Incidence/41 - Model Estimation German.vtt 5.3 KB
13 - Deep Learning for Conversion Prediction/72 - Testing the Model Indonesian.vtt 5.3 KB
5 - Hierarchical Clustering/17 - Hierarchical Clustering Background French.vtt 5.3 KB
12 - Modeling Purchase Quantity/61 - Calculating Price Elasticity of Purchase Quantity English.vtt 5.2 KB
13 - Deep Learning for Conversion Prediction/72 - Testing the Model Portuguese.vtt 5.2 KB
7 - KMeans Clustering based on Principal Component Analysis/23 - Principal Component Analysis Application English.vtt 5.2 KB
10 - Modeling Purchase Incidence/41 - Model Estimation French.vtt 5.2 KB
5 - Hierarchical Clustering/17 - Hierarchical Clustering Background German.vtt 5.1 KB
13 - Deep Learning for Conversion Prediction/73 - Obtaining the Probability of a Customer to Convert German.vtt 5.1 KB
13 - Deep Learning for Conversion Prediction/65 - Introduction to Deep Learning for Customer Analytics French.vtt 5.0 KB
13 - Deep Learning for Conversion Prediction/72 - Testing the Model English.vtt 5.0 KB
13 - Deep Learning for Conversion Prediction/73 - Obtaining the Probability of a Customer to Convert French.vtt 5.0 KB
10 - Modeling Purchase Incidence/41 - Model Estimation Spanish.vtt 5.0 KB
10 - Modeling Purchase Incidence/41 - Model Estimation Italian.vtt 5.0 KB
5 - Hierarchical Clustering/17 - Hierarchical Clustering Background Spanish.vtt 5.0 KB
10 - Modeling Purchase Incidence/41 - Model Estimation Indonesian.vtt 4.9 KB
10 - Modeling Purchase Incidence/41 - Model Estimation Portuguese.vtt 4.9 KB
6 - KMeans Clustering/19 - K German.vtt 4.9 KB
13 - Deep Learning for Conversion Prediction/70 - Outlining the Deep Learning Model French.vtt 4.9 KB
5 - Hierarchical Clustering/17 - Hierarchical Clustering Background Italian.vtt 4.9 KB
10 - Modeling Purchase Incidence/41 - Model Estimation English.vtt 4.9 KB
6 - KMeans Clustering/19 - K French.vtt 4.9 KB
5 - Hierarchical Clustering/17 - Hierarchical Clustering Background Portuguese.vtt 4.9 KB
13 - Deep Learning for Conversion Prediction/73 - Obtaining the Probability of a Customer to Convert Spanish.vtt 4.9 KB
5 - Hierarchical Clustering/17 - Hierarchical Clustering Background Indonesian.vtt 4.8 KB
13 - Deep Learning for Conversion Prediction/73 - Obtaining the Probability of a Customer to Convert Indonesian.vtt 4.8 KB
13 - Deep Learning for Conversion Prediction/65 - Introduction to Deep Learning for Customer Analytics Italian.vtt 4.7 KB
13 - Deep Learning for Conversion Prediction/73 - Obtaining the Probability of a Customer to Convert Italian.vtt 4.7 KB
13 - Deep Learning for Conversion Prediction/65 - Introduction to Deep Learning for Customer Analytics German.vtt 4.7 KB
13 - Deep Learning for Conversion Prediction/65 - Introduction to Deep Learning for Customer Analytics Spanish.vtt 4.7 KB
6 - KMeans Clustering/19 - K Spanish.vtt 4.7 KB
3 - Setting up the Environment/8 - Installing Anaconda French.vtt 4.6 KB
13 - Deep Learning for Conversion Prediction/73 - Obtaining the Probability of a Customer to Convert Portuguese.vtt 4.6 KB
13 - Deep Learning for Conversion Prediction/68 - Why do We Need to Balance a Dataset French.vtt 4.6 KB
5 - Hierarchical Clustering/17 - Hierarchical Clustering Background English.vtt 4.6 KB
13 - Deep Learning for Conversion Prediction/65 - Introduction to Deep Learning for Customer Analytics Indonesian.vtt 4.6 KB
13 - Deep Learning for Conversion Prediction/70 - Outlining the Deep Learning Model German.vtt 4.6 KB
13 - Deep Learning for Conversion Prediction/68 - Why do We Need to Balance a Dataset German.vtt 4.6 KB
13 - Deep Learning for Conversion Prediction/65 - Introduction to Deep Learning for Customer Analytics Portuguese.vtt 4.6 KB
6 - KMeans Clustering/19 - K Italian.vtt 4.6 KB
6 - KMeans Clustering/19 - K Indonesian.vtt 4.6 KB
13 - Deep Learning for Conversion Prediction/73 - Obtaining the Probability of a Customer to Convert English.vtt 4.6 KB
6 - KMeans Clustering/19 - K Portuguese.vtt 4.5 KB
13 - Deep Learning for Conversion Prediction/70 - Outlining the Deep Learning Model Spanish.vtt 4.5 KB
3 - Setting up the Environment/8 - Installing Anaconda German.vtt 4.5 KB
4 - Segmentation Data/14 - Getting to know the Segmentation Dataset French.vtt 4.5 KB
13 - Deep Learning for Conversion Prediction/70 - Outlining the Deep Learning Model Italian.vtt 4.5 KB
13 - Deep Learning for Conversion Prediction/70 - Outlining the Deep Learning Model Indonesian.vtt 4.5 KB
6 - KMeans Clustering/19 - K English.vtt 4.4 KB
13 - Deep Learning for Conversion Prediction/68 - Why do We Need to Balance a Dataset Indonesian.vtt 4.4 KB
13 - Deep Learning for Conversion Prediction/70 - Outlining the Deep Learning Model Portuguese.vtt 4.4 KB
13 - Deep Learning for Conversion Prediction/68 - Why do We Need to Balance a Dataset Italian.vtt 4.4 KB
13 - Deep Learning for Conversion Prediction/65 - Introduction to Deep Learning for Customer Analytics English.vtt 4.4 KB
13 - Deep Learning for Conversion Prediction/68 - Why do We Need to Balance a Dataset Spanish.vtt 4.3 KB
11 - Modeling Brand Choice/51 - Prepare Data and Fit the Model French.vtt 4.3 KB
3 - Setting up the Environment/8 - Installing Anaconda Spanish.vtt 4.3 KB
4 - Segmentation Data/14 - Getting to know the Segmentation Dataset German.vtt 4.3 KB
11 - Modeling Brand Choice/52 - Interpreting the Coefficients French.vtt 4.3 KB
10 - Modeling Purchase Incidence/49 - Comparing Price Elasticities with and without Promotion French.vtt 4.3 KB
3 - Setting up the Environment/8 - Installing Anaconda Portuguese.vtt 4.2 KB
4 - Segmentation Data/16 - Standardizing Segmentation Data French.vtt 4.2 KB
11 - Modeling Brand Choice/52 - Interpreting the Coefficients German.vtt 4.2 KB
3 - Setting up the Environment/8 - Installing Anaconda Indonesian.vtt 4.2 KB
4 - Segmentation Data/14 - Getting to know the Segmentation Dataset Spanish.vtt 4.2 KB
3 - Setting up the Environment/8 - Installing Anaconda Italian.vtt 4.2 KB
13 - Deep Learning for Conversion Prediction/68 - Why do We Need to Balance a Dataset Portuguese.vtt 4.2 KB
4 - Segmentation Data/16 - Standardizing Segmentation Data German.vtt 4.2 KB
4 - Segmentation Data/14 - Getting to know the Segmentation Dataset Italian.vtt 4.2 KB
13 - Deep Learning for Conversion Prediction/70 - Outlining the Deep Learning Model English.vtt 4.2 KB
4 - Segmentation Data/14 - Getting to know the Segmentation Dataset Portuguese.vtt 4.2 KB
11 - Modeling Brand Choice/52 - Interpreting the Coefficients Spanish.vtt 4.2 KB
11 - Modeling Brand Choice/51 - Prepare Data and Fit the Model Spanish.vtt 4.1 KB
10 - Modeling Purchase Incidence/49 - Comparing Price Elasticities with and without Promotion German.vtt 4.1 KB
11 - Modeling Brand Choice/51 - Prepare Data and Fit the Model German.vtt 4.1 KB
13 - Deep Learning for Conversion Prediction/68 - Why do We Need to Balance a Dataset English.vtt 4.1 KB
4 - Segmentation Data/14 - Getting to know the Segmentation Dataset Indonesian.vtt 4.1 KB
10 - Modeling Purchase Incidence/49 - Comparing Price Elasticities with and without Promotion Italian.vtt 4.1 KB
10 - Modeling Purchase Incidence/49 - Comparing Price Elasticities with and without Promotion Spanish.vtt 4.1 KB
4 - Segmentation Data/16 - Standardizing Segmentation Data Spanish.vtt 4.1 KB
3 - Setting up the Environment/8 - Installing Anaconda English.vtt 4.0 KB
11 - Modeling Brand Choice/52 - Interpreting the Coefficients Portuguese.vtt 4.0 KB
11 - Modeling Brand Choice/51 - Prepare Data and Fit the Model Italian.vtt 4.0 KB
10 - Modeling Purchase Incidence/49 - Comparing Price Elasticities with and without Promotion Portuguese.vtt 4.0 KB
11 - Modeling Brand Choice/52 - Interpreting the Coefficients Italian.vtt 4.0 KB
11 - Modeling Brand Choice/51 - Prepare Data and Fit the Model Portuguese.vtt 4.0 KB
4 - Segmentation Data/16 - Standardizing Segmentation Data Italian.vtt 4.0 KB
10 - Modeling Purchase Incidence/49 - Comparing Price Elasticities with and without Promotion Indonesian.vtt 3.9 KB
4 - Segmentation Data/16 - Standardizing Segmentation Data Portuguese.vtt 3.9 KB
4 - Segmentation Data/16 - Standardizing Segmentation Data Indonesian.vtt 3.9 KB
11 - Modeling Brand Choice/52 - Interpreting the Coefficients Indonesian.vtt 3.9 KB
11 - Modeling Brand Choice/51 - Prepare Data and Fit the Model Indonesian.vtt 3.9 KB
10 - Modeling Purchase Incidence/46 - Purchase Probability Model with Promotion French.vtt 3.9 KB
4 - Segmentation Data/14 - Getting to know the Segmentation Dataset English.vtt 3.9 KB
10 - Modeling Purchase Incidence/46 - Purchase Probability Model with Promotion Spanish.vtt 3.8 KB
11 - Modeling Brand Choice/52 - Interpreting the Coefficients English.vtt 3.8 KB
4 - Segmentation Data/16 - Standardizing Segmentation Data English.vtt 3.8 KB
10 - Modeling Purchase Incidence/49 - Comparing Price Elasticities with and without Promotion English.vtt 3.8 KB
10 - Modeling Purchase Incidence/46 - Purchase Probability Model with Promotion German.vtt 3.7 KB
10 - Modeling Purchase Incidence/46 - Purchase Probability Model with Promotion Italian.vtt 3.7 KB
10 - Modeling Purchase Incidence/46 - Purchase Probability Model with Promotion Portuguese.vtt 3.6 KB
11 - Modeling Brand Choice/51 - Prepare Data and Fit the Model English.vtt 3.6 KB
10 - Modeling Purchase Incidence/46 - Purchase Probability Model with Promotion Indonesian.vtt 3.6 KB
10 - Modeling Purchase Incidence/46 - Purchase Probability Model with Promotion English.vtt 3.5 KB
12 - Modeling Purchase Quantity/63 - Price Elasticity of Purchase Quantity Results French.vtt 3.4 KB
12 - Modeling Purchase Quantity/63 - Price Elasticity of Purchase Quantity Results German.vtt 3.3 KB
10 - Modeling Purchase Incidence/39 - The Model Binomial Logistic Regression French.vtt 3.3 KB
12 - Modeling Purchase Quantity/63 - Price Elasticity of Purchase Quantity Results Italian.vtt 3.3 KB
3 - Setting up the Environment/9 - Jupyter Dashboard French.vtt 3.2 KB
12 - Modeling Purchase Quantity/63 - Price Elasticity of Purchase Quantity Results Spanish.vtt 3.2 KB
3 - Setting up the Environment/9 - Jupyter Dashboard German.vtt 3.2 KB
10 - Modeling Purchase Incidence/39 - The Model Binomial Logistic Regression German.vtt 3.2 KB
12 - Modeling Purchase Quantity/63 - Price Elasticity of Purchase Quantity Results Portuguese.vtt 3.1 KB
10 - Modeling Purchase Incidence/39 - The Model Binomial Logistic Regression Spanish.vtt 3.1 KB
3 - Setting up the Environment/9 - Jupyter Dashboard Spanish.vtt 3.1 KB
10 - Modeling Purchase Incidence/39 - The Model Binomial Logistic Regression Italian.vtt 3.1 KB
3 - Setting up the Environment/9 - Jupyter Dashboard Italian.vtt 3.1 KB
12 - Modeling Purchase Quantity/63 - Price Elasticity of Purchase Quantity Results Indonesian.vtt 3.1 KB
10 - Modeling Purchase Incidence/39 - The Model Binomial Logistic Regression Portuguese.vtt 3.1 KB
10 - Modeling Purchase Incidence/39 - The Model Binomial Logistic Regression Indonesian.vtt 3.1 KB
3 - Setting up the Environment/9 - Jupyter Dashboard Portuguese.vtt 3.0 KB
3 - Setting up the Environment/9 - Jupyter Dashboard Indonesian.vtt 3.0 KB
10 - Modeling Purchase Incidence/39 - The Model Binomial Logistic Regression English.vtt 2.9 KB
12 - Modeling Purchase Quantity/63 - Price Elasticity of Purchase Quantity Results English.vtt 2.9 KB
7 - KMeans Clustering based on Principal Component Analysis/29 - Saving the Models French.vtt 2.9 KB
8 - Purchase Data/32 - Importing and Exploring Purchase Data French.vtt 2.9 KB
10 - Modeling Purchase Incidence/47 - Calculating Price Elasticities with Promotion French.vtt 2.8 KB
8 - Purchase Data/32 - Importing and Exploring Purchase Data German.vtt 2.8 KB
10 - Modeling Purchase Incidence/47 - Calculating Price Elasticities with Promotion German.vtt 2.8 KB
7 - KMeans Clustering based on Principal Component Analysis/29 - Saving the Models German.vtt 2.8 KB
3 - Setting up the Environment/9 - Jupyter Dashboard English.vtt 2.7 KB
10 - Modeling Purchase Incidence/47 - Calculating Price Elasticities with Promotion Spanish.vtt 2.7 KB
11 - Modeling Brand Choice/50 - Brand Choice Models The Model Multinomial Logistic Regression French.vtt 2.7 KB
7 - KMeans Clustering based on Principal Component Analysis/29 - Saving the Models Indonesian.vtt 2.7 KB
8 - Purchase Data/32 - Importing and Exploring Purchase Data Indonesian.vtt 2.7 KB
10 - Modeling Purchase Incidence/47 - Calculating Price Elasticities with Promotion Italian.vtt 2.7 KB
11 - Modeling Brand Choice/50 - Brand Choice Models The Model Multinomial Logistic Regression German.vtt 2.7 KB
7 - KMeans Clustering based on Principal Component Analysis/29 - Saving the Models Spanish.vtt 2.7 KB
7 - KMeans Clustering based on Principal Component Analysis/29 - Saving the Models Italian.vtt 2.7 KB
8 - Purchase Data/32 - Importing and Exploring Purchase Data Spanish.vtt 2.7 KB
10 - Modeling Purchase Incidence/47 - Calculating Price Elasticities with Promotion Portuguese.vtt 2.6 KB
11 - Modeling Brand Choice/50 - Brand Choice Models The Model Multinomial Logistic Regression Italian.vtt 2.6 KB
7 - KMeans Clustering based on Principal Component Analysis/29 - Saving the Models Portuguese.vtt 2.6 KB
8 - Purchase Data/32 - Importing and Exploring Purchase Data Italian.vtt 2.6 KB
10 - Modeling Purchase Incidence/47 - Calculating Price Elasticities with Promotion Indonesian.vtt 2.6 KB
8 - Purchase Data/32 - Importing and Exploring Purchase Data Portuguese.vtt 2.6 KB
11 - Modeling Brand Choice/50 - Brand Choice Models The Model Multinomial Logistic Regression Spanish.vtt 2.6 KB
12 - Modeling Purchase Quantity/59 - Purchase Quantity Models The Model Linear Regression French.vtt 2.6 KB
12 - Modeling Purchase Quantity/59 - Purchase Quantity Models The Model Linear Regression German.vtt 2.6 KB
11 - Modeling Brand Choice/50 - Brand Choice Models The Model Multinomial Logistic Regression Indonesian.vtt 2.5 KB
11 - Modeling Brand Choice/50 - Brand Choice Models The Model Multinomial Logistic Regression Portuguese.vtt 2.5 KB
7 - KMeans Clustering based on Principal Component Analysis/22 - Principal Component Analysis Background French.vtt 2.5 KB
7 - KMeans Clustering based on Principal Component Analysis/22 - Principal Component Analysis Background German.vtt 2.5 KB
12 - Modeling Purchase Quantity/59 - Purchase Quantity Models The Model Linear Regression Italian.vtt 2.5 KB
10 - Modeling Purchase Incidence/47 - Calculating Price Elasticities with Promotion English.vtt 2.4 KB
12 - Modeling Purchase Quantity/59 - Purchase Quantity Models The Model Linear Regression Spanish.vtt 2.4 KB
12 - Modeling Purchase Quantity/59 - Purchase Quantity Models The Model Linear Regression English.vtt 2.4 KB
11 - Modeling Brand Choice/50 - Brand Choice Models The Model Multinomial Logistic Regression English.vtt 2.4 KB
7 - KMeans Clustering based on Principal Component Analysis/26 - K German.vtt 2.4 KB
12 - Modeling Purchase Quantity/59 - Purchase Quantity Models The Model Linear Regression Portuguese.vtt 2.4 KB
8 - Purchase Data/32 - Importing and Exploring Purchase Data English.vtt 2.4 KB
7 - KMeans Clustering based on Principal Component Analysis/22 - Principal Component Analysis Background Indonesian.vtt 2.4 KB
7 - KMeans Clustering based on Principal Component Analysis/22 - Principal Component Analysis Background Spanish.vtt 2.4 KB
7 - KMeans Clustering based on Principal Component Analysis/26 - K French.vtt 2.4 KB
7 - KMeans Clustering based on Principal Component Analysis/22 - Principal Component Analysis Background Italian.vtt 2.4 KB
12 - Modeling Purchase Quantity/59 - Purchase Quantity Models The Model Linear Regression Indonesian.vtt 2.4 KB
7 - KMeans Clustering based on Principal Component Analysis/29 - Saving the Models English.vtt 2.4 KB
7 - KMeans Clustering based on Principal Component Analysis/22 - Principal Component Analysis Background Portuguese.vtt 2.3 KB
7 - KMeans Clustering based on Principal Component Analysis/26 - K Indonesian.vtt 2.3 KB
7 - KMeans Clustering based on Principal Component Analysis/26 - K Italian.vtt 2.3 KB
7 - KMeans Clustering based on Principal Component Analysis/26 - K Spanish.vtt 2.3 KB
13 - Deep Learning for Conversion Prediction/74 - Saving the Model and Preparing for Deployment French.vtt 2.3 KB
7 - KMeans Clustering based on Principal Component Analysis/26 - K Portuguese.vtt 2.3 KB
7 - KMeans Clustering based on Principal Component Analysis/22 - Principal Component Analysis Background English.vtt 2.2 KB
13 - Deep Learning for Conversion Prediction/74 - Saving the Model and Preparing for Deployment German.vtt 2.1 KB
13 - Deep Learning for Conversion Prediction/74 - Saving the Model and Preparing for Deployment Italian.vtt 2.1 KB
13 - Deep Learning for Conversion Prediction/74 - Saving the Model and Preparing for Deployment Spanish.vtt 2.1 KB
13 - Deep Learning for Conversion Prediction/74 - Saving the Model and Preparing for Deployment Portuguese.vtt 2.0 KB
13 - Deep Learning for Conversion Prediction/74 - Saving the Model and Preparing for Deployment Indonesian.vtt 2.0 KB
7 - KMeans Clustering based on Principal Component Analysis/26 - K English.vtt 2.0 KB
3 - Setting up the Environment/11 - Installing the Relevant Packages French.vtt 1.9 KB
3 - Setting up the Environment/11 - Installing the Relevant Packages German.vtt 1.9 KB
10 - Modeling Purchase Incidence/40 - Prepare the Dataset for Logistic Regression French.vtt 1.9 KB
13 - Deep Learning for Conversion Prediction/76 - Completing 100.html 1.9 KB
11 - Modeling Brand Choice/58 - Own and CrossPrice Elasticity by Segment Homework 2.html 1.8 KB
3 - Setting up the Environment/11 - Installing the Relevant Packages Indonesian.vtt 1.8 KB
13 - Deep Learning for Conversion Prediction/74 - Saving the Model and Preparing for Deployment English.vtt 1.8 KB
10 - Modeling Purchase Incidence/40 - Prepare the Dataset for Logistic Regression German.vtt 1.8 KB
3 - Setting up the Environment/11 - Installing the Relevant Packages Spanish.vtt 1.8 KB
3 - Setting up the Environment/11 - Installing the Relevant Packages Italian.vtt 1.8 KB
10 - Modeling Purchase Incidence/40 - Prepare the Dataset for Logistic Regression Spanish.vtt 1.8 KB
3 - Setting up the Environment/11 - Installing the Relevant Packages Portuguese.vtt 1.8 KB
10 - Modeling Purchase Incidence/40 - Prepare the Dataset for Logistic Regression Indonesian.vtt 1.8 KB
10 - Modeling Purchase Incidence/40 - Prepare the Dataset for Logistic Regression Portuguese.vtt 1.7 KB
10 - Modeling Purchase Incidence/40 - Prepare the Dataset for Logistic Regression Italian.vtt 1.7 KB
3 - Setting up the Environment/11 - Installing the Relevant Packages English.vtt 1.7 KB
10 - Modeling Purchase Incidence/40 - Prepare the Dataset for Logistic Regression English.vtt 1.6 KB
8 - Purchase Data/30 - Purchase Analytics French.vtt 1.5 KB
8 - Purchase Data/30 - Purchase Analytics German.vtt 1.5 KB
8 - Purchase Data/30 - Purchase Analytics Spanish.vtt 1.5 KB
8 - Purchase Data/30 - Purchase Analytics Italian.vtt 1.4 KB
8 - Purchase Data/30 - Purchase Analytics English.vtt 1.4 KB
13 - Deep Learning for Conversion Prediction/67 - How Are We Going to Tackle the Business Case French.vtt 1.4 KB
8 - Purchase Data/30 - Purchase Analytics Portuguese.vtt 1.4 KB
13 - Deep Learning for Conversion Prediction/67 - How Are We Going to Tackle the Business Case German.vtt 1.4 KB
10 - Modeling Purchase Incidence/45 - Purchase Probability by Segments Homework.html 1.4 KB
8 - Purchase Data/30 - Purchase Analytics Indonesian.vtt 1.4 KB
12 - Modeling Purchase Quantity/64 - Price Elasticity of Purchase Quantity Homework.html 1.4 KB
3 - Setting up the Environment/6 - Setting up the Environment French.vtt 1.3 KB
13 - Deep Learning for Conversion Prediction/67 - How Are We Going to Tackle the Business Case Spanish.vtt 1.3 KB
3 - Setting up the Environment/6 - Setting up the Environment German.vtt 1.3 KB
13 - Deep Learning for Conversion Prediction/67 - How Are We Going to Tackle the Business Case Portuguese.vtt 1.2 KB
13 - Deep Learning for Conversion Prediction/67 - How Are We Going to Tackle the Business Case Indonesian.vtt 1.2 KB
3 - Setting up the Environment/6 - Setting up the Environment Indonesian.vtt 1.2 KB
13 - Deep Learning for Conversion Prediction/67 - How Are We Going to Tackle the Business Case Italian.vtt 1.2 KB
13 - Deep Learning for Conversion Prediction/75 - NewAudiobooksData.csv 1.2 KB
3 - Setting up the Environment/6 - Setting up the Environment English.vtt 1.2 KB
3 - Setting up the Environment/6 - Setting up the Environment Spanish.vtt 1.2 KB
3 - Setting up the Environment/6 - Setting up the Environment Portuguese.vtt 1.2 KB
3 - Setting up the Environment/6 - Setting up the Environment Italian.vtt 1.1 KB
13 - Deep Learning for Conversion Prediction/67 - How Are We Going to Tackle the Business Case English.vtt 1.1 KB
11 - Modeling Brand Choice/56 - Own and CrossPrice Elasticity by Segment Homework.html 1.1 KB
10 - Modeling Purchase Incidence/48 - Calculating Price Elasticities Without Promotion Homework.html 1015 bytes
7 - KMeans Clustering based on Principal Component Analysis/24 - Principal Component Analysis Homework.html 959 bytes
12 - Modeling Purchase Quantity/62 - Calculating Price Elasticity of Purchase Quantity Homework.html 796 bytes
3 - Setting up the Environment/13 - Installing the Relevant Packages Homework Solution.html 626 bytes
9 - Descriptive Analyses by Segments/36 - Purchase Occasion and Purchase Incidence Homework.html 472 bytes
3 - Setting up the Environment/12 - Installing the Relevant Packages Homework.html 331 bytes
7 - KMeans Clustering based on Principal Component Analysis/28 - KMeans Clustering with Principal Components Results Homework.html 241 bytes
10 - Modeling Purchase Incidence/45 - Purchase Probability by Segments Homework Solution Notebook With Comments.txt 157 bytes
10 - Modeling Purchase Incidence/48 - Calculating Price Elasticities Without Promotion Homework Solution Notebook With Comments.txt 144 bytes
11 - Modeling Brand Choice/56 - Own and CrossPrice Elasticity by Segment Homework Solution Notebook with Comments.txt 144 bytes
12 - Modeling Purchase Quantity/62 - Calculating Price Elasticity of Purchase Quantity Homework Solution Notebook With Comments.txt 144 bytes
9 - Descriptive Analyses by Segments/36 - Purchase Occasion and Purchase Incidence Homework Solution Notebook With Comments.txt 144 bytes
10 - Modeling Purchase Incidence/45 - Purchase Probability by Segments Homework Solution Notebook.txt 138 bytes
12 - Modeling Purchase Quantity/63 - Price Elasticity of Purchase Quantity Results Notebook With Comments.txt 135 bytes
7 - KMeans Clustering based on Principal Component Analysis/28 - KMeans Clustering with Principal Components Results Homework Solution Notebook with Comments.txt 134 bytes
10 - Modeling Purchase Incidence/45 - Purchase Probability by Segments Homework Notebook With Comments.txt 133 bytes
10 - Modeling Purchase Incidence/48 - Calculating Price Elasticities Without Promotion Homework Notebook With Comments.txt 133 bytes
11 - Modeling Brand Choice/56 - Own and CrossPrice Elasticity by Segment Homework Notebook With Comments.txt 133 bytes
12 - Modeling Purchase Quantity/62 - Calculating Price Elasticity of Purchase Quantity Homework Notebook With Comments.txt 133 bytes
9 - Descriptive Analyses by Segments/36 - Purchase Occasion and Purchase Incidence Homework Notebook With Comments.txt 133 bytes
0. Websites you may like/[FreeCourseSite.com].url 127 bytes
10 - Modeling Purchase Incidence/48 - Calculating Price Elasticities Without Promotion Homework Solution Notebook.txt 126 bytes
11 - Modeling Brand Choice/56 - Own and CrossPrice Elasticity by Segment Homework Solution Notebook.txt 126 bytes
12 - Modeling Purchase Quantity/62 - Calculating Price Elasticity of Purchase Quantity Homework Solution Notebook.txt 126 bytes
9 - Descriptive Analyses by Segments/36 - Purchase Occasion and Purchase Incidence Homework Solution Notebook.txt 126 bytes
10 - Modeling Purchase Incidence/49 - Comparing Price Elasticities with and without Promotion Notebook With Comments.txt 123 bytes
7 - KMeans Clustering based on Principal Component Analysis/28 - KMeans Clustering with Principal Components Results Homework Notebook with Comments.txt 123 bytes
8 - Purchase Data/32 - Importing and Exploring Purchase Data Notebook With Comments.txt 123 bytes
0. Websites you may like/[CourseClub.Me].url 122 bytes
11 - Modeling Brand Choice/51 - Prepare Data and Fit the Model Notebook with Comments.txt 122 bytes
11 - Modeling Brand Choice/52 - Interpreting the Coefficients Notebook With Comments.txt 122 bytes
11 - Modeling Brand Choice/53 - Own Price Brand Choice Elasticity Notebook With Comments.txt 122 bytes
11 - Modeling Brand Choice/54 - Cross Price Brand Choice Elasticity Notebook With Comments.txt 122 bytes
11 - Modeling Brand Choice/55 - Own and CrossPrice Elasticity by Segment Notebook With Comments.txt 122 bytes
11 - Modeling Brand Choice/57 - Own and CrossPrice Elasticity by Segment Comparison Notebook With Comments.txt 122 bytes
12 - Modeling Purchase Quantity/60 - Preparing the Data and Fitting the Model Notebook With Comments.txt 122 bytes
12 - Modeling Purchase Quantity/61 - Calculating Price Elasticity of Purchase Quantity Notebook With Comments.txt 122 bytes
8 - Purchase Data/33 - Applying the Segmentation Model Notebook With Comments.txt 122 bytes
9 - Descriptive Analyses by Segments/34 - Segment Proportions Notebook With Comments.txt 122 bytes
9 - Descriptive Analyses by Segments/35 - Purchase Occasion and Purchase Incidence Notebook With Comments.txt 122 bytes
9 - Descriptive Analyses by Segments/37 - Brand Choice Notebook With Comments.txt 122 bytes
9 - Descriptive Analyses by Segments/38 - Dissecting the Revenue by Segment Notebook With Comments.txt 122 bytes
10 - Modeling Purchase Incidence/40 - Prepare the Dataset for Logistic Regression Notebook With Comments.txt 121 bytes
10 - Modeling Purchase Incidence/41 - Model Estimation Notebook With Comments.txt 121 bytes
10 - Modeling Purchase Incidence/42 - Calculating Price Elasticity of Purchase Probability Notebook With Comments.txt 121 bytes
10 - Modeling Purchase Incidence/43 - Price Elasticity of Purchase Probability Results Notebook With Comments.txt 121 bytes
10 - Modeling Purchase Incidence/44 - Purchase Probability by Segments Notebook With Comments.txt 121 bytes
10 - Modeling Purchase Incidence/46 - Purchase Probability Model with Promotion Notebook With Comments.txt 121 bytes
10 - Modeling Purchase Incidence/47 - Calculating Price Elasticities with Promotion Notebook With Comments.txt 121 bytes
12 - Modeling Purchase Quantity/63 - Price Elasticity of Purchase Quantity Results Notebook.txt 117 bytes
7 - KMeans Clustering based on Principal Component Analysis/28 - KMeans Clustering with Principal Components Results Homework Solution Notebook.txt 116 bytes
10 - Modeling Purchase Incidence/48 - Calculating Price Elasticities Without Promotion Homework Notebook.txt 115 bytes
11 - Modeling Brand Choice/56 - Own and CrossPrice Elasticity by Segment Homework Notebook.txt 115 bytes
12 - Modeling Purchase Quantity/62 - Calculating Price Elasticity of Purchase Quantity Homework Notebook.txt 115 bytes
9 - Descriptive Analyses by Segments/36 - Purchase Occasion and Purchase Incidence Homework Notebook.txt 115 bytes
10 - Modeling Purchase Incidence/45 - Purchase Probability by Segments Homework Notebook.txt 114 bytes
4 - Segmentation Data/15 - Importing and Exploring Segmentation Data Notebook With Comments.txt 112 bytes
4 - Segmentation Data/16 - Standardizing Segmentation Data Notebook With Comments.txt 112 bytes
5 - Hierarchical Clustering/18 - Hierarchical Clustering Implementation And Results Notebook With Comments.txt 112 bytes
6 - KMeans Clustering/20 - KMeans Clustering Implementation Notebook With Comments.txt 112 bytes
6 - KMeans Clustering/21 - KMeans Clustering Results Notebook With Comments.txt 112 bytes
7 - KMeans Clustering based on Principal Component Analysis/23 - Principal Component Analysis Application Notebook With Comments.txt 112 bytes
7 - KMeans Clustering based on Principal Component Analysis/25 - Principal Component Analysis Results Notebook With Comments.txt 112 bytes
7 - KMeans Clustering based on Principal Component Analysis/26 - KMeans Clustering with Principal Components Application Notebook With Comments.txt 112 bytes
7 - KMeans Clustering based on Principal Component Analysis/27 - KMeans Clustering with Principal Components Results Notebook With Comments.txt 112 bytes
7 - KMeans Clustering based on Principal Component Analysis/29 - Saving the Models Notebook with Comments.txt 112 bytes
13 - Deep Learning for Conversion Prediction/75 - Deep Learning Predicting New Data with Comments.txt 105 bytes
7 - KMeans Clustering based on Principal Component Analysis/28 - KMeans Clustering with Principal Components Results Homework Notebook.txt 105 bytes
10 - Modeling Purchase Incidence/49 - Comparing Price Elasticities with and without Promotion Notebook.txt 104 bytes
11 - Modeling Brand Choice/51 - Prepare Data and Fit the Model Notebook.txt 104 bytes
11 - Modeling Brand Choice/52 - Interpreting the Coefficients Notebook.txt 104 bytes
11 - Modeling Brand Choice/53 - Own Price Brand Choice Elasticity Notebook.txt 104 bytes
11 - Modeling Brand Choice/54 - Cross Price Brand Choice Elasticity Notebook.txt 104 bytes
11 - Modeling Brand Choice/55 - Own and CrossPrice Elasticity by Segment Notebook.txt 104 bytes
11 - Modeling Brand Choice/57 - Own and CrossPrice Elasticity by Segment Comparison Notebook.txt 104 bytes
12 - Modeling Purchase Quantity/60 - Preparing the Data and Fitting the Model Notebook.txt 104 bytes
12 - Modeling Purchase Quantity/61 - Calculating Price Elasticity of Purchase Quantity Notebook.txt 104 bytes
8 - Purchase Data/32 - Importing and Exploring Purchase Data Notebook.txt 104 bytes
8 - Purchase Data/33 - Applying the Segmentation Model Notebook.txt 104 bytes
9 - Descriptive Analyses by Segments/34 - Segment Proportions Notebook.txt 104 bytes
9 - Descriptive Analyses by Segments/35 - Purchase Occasion and Purchase Incidence Notebook.txt 104 bytes
9 - Descriptive Analyses by Segments/37 - Brand Choice Notebook.txt 104 bytes
9 - Descriptive Analyses by Segments/38 - Dissecting the Revenue by Segment Notebook.txt 104 bytes
10 - Modeling Purchase Incidence/40 - Prepare the Dataset for Logistic Regression Notebook.txt 103 bytes
10 - Modeling Purchase Incidence/41 - Model Estimation Notebook.txt 103 bytes
10 - Modeling Purchase Incidence/42 - Calculating Price Elasticity of Purchase Probability Notebook.txt 103 bytes
10 - Modeling Purchase Incidence/43 - Price Elasticity of Purchase Probability Results Notebook.txt 103 bytes
10 - Modeling Purchase Incidence/44 - Purchase Probability by Segments Notebook.txt 103 bytes
10 - Modeling Purchase Incidence/46 - Purchase Probability Model with Promotion Notebook.txt 103 bytes
10 - Modeling Purchase Incidence/47 - Calculating Price Elasticities with Promotion Notebook.txt 103 bytes
13 - Deep Learning for Conversion Prediction/69 - Deep Learning Preprocessing with Comments.txt 100 bytes
13 - Deep Learning for Conversion Prediction/74 - Deep Learning Modeling with Comments.txt 96 bytes
4 - Segmentation Data/15 - Importing and Exploring Segmentation Data Notebook.txt 94 bytes
4 - Segmentation Data/16 - Standardizing Segmentation Data Notebook.txt 94 bytes
5 - Hierarchical Clustering/18 - Hierarchical Clustering Implementation And Results Notebook.txt 94 bytes
6 - KMeans Clustering/20 - KMeans Clustering Implementation Notebook.txt 94 bytes
6 - KMeans Clustering/21 - KMeans Clustering Results Notebook.txt 94 bytes
7 - KMeans Clustering based on Principal Component Analysis/23 - Principal Component Analysis Application Notebook.txt 94 bytes
7 - KMeans Clustering based on Principal Component Analysis/25 - Principal Component Analysis Results Notebook.txt 94 bytes
7 - KMeans Clustering based on Principal Component Analysis/26 - KMeans Clustering with Principal Components Application Notebook.txt 94 bytes
7 - KMeans Clustering based on Principal Component Analysis/27 - KMeans Clustering with Principal Components Results Notebook.txt 94 bytes
7 - KMeans Clustering based on Principal Component Analysis/29 - Saving the Models Notebook.txt 94 bytes
13 - Deep Learning for Conversion Prediction/75 - Deep Learning Predicting New Data.txt 91 bytes
13 - Deep Learning for Conversion Prediction/69 - Deep Learning Preprocessing.txt 86 bytes
13 - Deep Learning for Conversion Prediction/74 - Deep Learning Modeling.txt 82 bytes
4 - Segmentation Data/14 - Segmentation Data Legend.txt 80 bytes
8 - Purchase Data/31 - Purchase Data Legend.txt 76 bytes
13 - Deep Learning for Conversion Prediction/69 - Deep Learning Scaler Object.txt 74 bytes
13 - Deep Learning for Conversion Prediction/75 - Deep Learning Scaler Object.txt 74 bytes
4 - Segmentation Data/14 - Segmentation Data.txt 70 bytes
4 - Segmentation Data/15 - Segmentation Data Set.txt 70 bytes
4 - Segmentation Data/16 - Segmentation Data Set.txt 70 bytes
13 - Deep Learning for Conversion Prediction/74 - Deep Learning Model Object.txt 66 bytes
13 - Deep Learning for Conversion Prediction/75 - Deep Learning Model Object.txt 66 bytes
8 - Purchase Data/31 - Purchase Data Set.txt 66 bytes
8 - Purchase Data/32 - Purchase Data Set.txt 66 bytes
10 - Modeling Purchase Incidence/40 - KMeans PCA Pickle File.txt 64 bytes
8 - Purchase Data/33 - K Means PCA Pickle FIle.txt 64 bytes
10 - Modeling Purchase Incidence/40 - StandardScaler Pickle File.txt 60 bytes
8 - Purchase Data/33 - StandardScaler Pickle File.txt 60 bytes
10 - Modeling Purchase Incidence/40 - PCA Pickle File.txt 57 bytes
8 - Purchase Data/33 - PCA Pickle File.txt 57 bytes
0. Websites you may like/[GigaCourse.Com].url 49 bytes
10 - Modeling Purchase Incidence/5 - Price Elasticity Quiz Questions.html 0 bytes
2 - A Brief Marketing Introduction/1 - Segmentation Targeting and Positioning.html 0 bytes
2 - A Brief Marketing Introduction/2 - Marketing Mix.html 0 bytes
2 - A Brief Marketing Introduction/3 - Physical and Online Retailers Similarities and Differences.html 0 bytes
2 - A Brief Marketing Introduction/4 - Price Elasticity.html 0 bytes

[FreeCourseSite.com] Udemy - Customer Analytics in Python 2022

File List

Download Torrent

Related Resources

Copyright Infringement