[FreeCourseSite.com] Udemy - The Complete Machine Learning Course From Zero to Expert!

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3 - Visualization Principal Component Analysis/7 - Using PCA.mp4 461.4 MB
11 - Ridge Regression/38 - Ridge Regression and Cross Validation.mp4 325.2 MB
18 - Neural Networks for Regression/73 - Multilayer Perceptron Neural Network.mp4 307.7 MB
5 - Visualization tStochastic Neighbor Embedding tSNE/16 - tSNE on Raw Data.mp4 256.7 MB
7 - Visualization ISOMAP/24 - ISOMAP with 3 Dimensions.mp4 247.7 MB
13 - Regression Understand the Models/41 - Data Scaling.mp4 244.6 MB
14 - Classification/49 - Linear Discriminant Analysis.mp4 225.8 MB
10 - Linear Regression/35 - Linear Regression.mp4 222.7 MB
3 - Visualization Principal Component Analysis/6 - Initial Visualization.mp4 217.2 MB
7 - Visualization ISOMAP/23 - ISOMAP with 2 Dimensions.mp4 214.0 MB
8 - Visualization Fisher Discriminant Analysis/28 - Fisher Discriminant Analysis with 2 Dimensions.mp4 209.6 MB
14 - Classification/52 - Logistic Regression.mp4 209.1 MB
4 - Visualization Locally Linear Embedding LLE/12 - LLE with 3 Dimensions.mp4 201.9 MB
4 - Visualization Locally Linear Embedding LLE/11 - Using LLE.mp4 200.1 MB
15 - Support Vector Machines for Regression/57 - Support Vector Machine Linear Kernel.mp4 194.4 MB
8 - Visualization Fisher Discriminant Analysis/29 - Fisher Discriminant Analysis with 3 Dimensions.mp4 188.0 MB
9 - Visualization Final Project Images/32 - Fisher Discriminant Analysis.mp4 182.8 MB
19 - Neural Networks for Classification/77 - Neural Network Training.mp4 181.2 MB
13 - Regression Understand the Models/42 - OneHot Encoding.mp4 176.7 MB
16 - Support Vector Machines for Classification/65 - Support Vector Machine Linear Kernel.mp4 175.1 MB
13 - Regression Understand the Models/43 - Regularization.mp4 170.7 MB
3 - Visualization Principal Component Analysis/5 - Introduction to the Dataset.mp4 166.4 MB
14 - Classification/47 - Preprocessing.mp4 163.2 MB
10 - Linear Regression/34 - Preprocessing.mp4 159.5 MB
10 - Linear Regression/37 - Cross Validation.mp4 155.6 MB
6 - Visualization Multidimensional Scaling MDS/20 - Using MDS with 2 Dimensions.mp4 150.0 MB
16 - Support Vector Machines for Classification/63 - Transformation to Data Matrix.mp4 147.6 MB
5 - Visualization tStochastic Neighbor Embedding tSNE/18 - tSNE on Standardized Data.mp4 146.6 MB
5 - Visualization tStochastic Neighbor Embedding tSNE/17 - tSNE on Scaled Data.mp4 145.4 MB
6 - Visualization Multidimensional Scaling MDS/21 - Using MDS with 3 Dimensions.mp4 143.7 MB
16 - Support Vector Machines for Classification/66 - Support Vector Machines Polynomial Kernels.mp4 136.1 MB
14 - Classification/50 - Naive Bayes Classifier.mp4 128.9 MB
12 - Lasso Regression/39 - Lasso Regression and Cross Validation.mp4 128.3 MB
19 - Neural Networks for Classification/74 - Introduction to the Dataset.mp4 124.3 MB
15 - Support Vector Machines for Regression/59 - Support Vector Machine Radial Basis Function RBF Kernel.mp4 123.4 MB
13 - Regression Understand the Models/40 - Analysis.mp4 121.1 MB
16 - Support Vector Machines for Classification/64 - Dimensionality Reduction.mp4 120.7 MB
15 - Support Vector Machines for Regression/56 - Partition of the Dataset Time Series Windows.mp4 120.4 MB
18 - Neural Networks for Regression/72 - Partition of the Dataset Time Series Windows.mp4 120.4 MB
2 - Introduction Preprocessing and Analysis/2 - Initial Study of the Dataset.mp4 118.1 MB
19 - Neural Networks for Classification/78 - Neural Network Performance Evaluation.mp4 113.2 MB
2 - Introduction Preprocessing and Analysis/3 - Basic Visualization.mp4 104.7 MB
14 - Classification/45 - Introduction to the Dataset.mp4 103.3 MB
10 - Linear Regression/33 - Introduction to the Dataset.mp4 99.7 MB
10 - Linear Regression/36 - Metrics.mp4 96.9 MB
15 - Support Vector Machines for Regression/54 - Introduction to the Dataset.mp4 93.8 MB
18 - Neural Networks for Regression/70 - Introduction to the Dataset.mp4 93.8 MB
16 - Support Vector Machines for Classification/62 - Partition of the Dataset.mp4 92.3 MB
9 - Visualization Final Project Images/31 - Introduction to Image Dataset.mp4 91.3 MB
8 - Visualization Fisher Discriminant Analysis/27 - Introduction to the Dataset.mp4 84.9 MB
5 - Visualization tStochastic Neighbor Embedding tSNE/15 - Introduction to the Dataset.mp4 84.9 MB
4 - Visualization Locally Linear Embedding LLE/10 - Introduction to the Dataset.mp4 84.9 MB
19 - Neural Networks for Classification/76 - Neural Network Preprocessing.mp4 83.4 MB
13 - Regression Understand the Models/44 - Final Results.mp4 81.6 MB
14 - Classification/48 - Principal Component Analysis.mp4 80.3 MB
14 - Classification/51 - Quadratic Classifier.mp4 76.5 MB
16 - Support Vector Machines for Classification/67 - Support Vector Machine Radial Basis Function RBF Kernel.mp4 76.1 MB
15 - Support Vector Machines for Regression/58 - Support Vector Machines Polynomial Kernels.mp4 74.6 MB
14 - Classification/46 - Partition of the Dataset Train and Test.mp4 68.6 MB
19 - Neural Networks for Classification/75 - Partition of the Dataset.mp4 65.0 MB
16 - Support Vector Machines for Classification/61 - Introduction to the Dataset.mp4 41.5 MB
15 - Support Vector Machines for Regression/55 - Partition of the Dataset Target Variable.mp4 37.0 MB
18 - Neural Networks for Regression/71 - Partition of the Dataset Target Variable.mp4 37.0 MB
5 - Visualization tStochastic Neighbor Embedding tSNE/13 - Introduction to tSNE.mp4 35.4 MB
17 - Neural Networks/68 - Introduction to Neural Networks.mp4 22.1 MB
6 - Visualization Multidimensional Scaling MDS/19 - Introduction to MDS.mp4 21.2 MB
3 - Visualization Principal Component Analysis/4 - Introduction to PCA.mp4 19.9 MB
4 - Visualization Locally Linear Embedding LLE/8 - Introduction to LLE.mp4 19.6 MB
4 - Visualization Locally Linear Embedding LLE/9 - Locally Linear Embedding Algorithm.mp4 19.2 MB
7 - Visualization ISOMAP/22 - Introduccion to ISOMAP.mp4 17.5 MB
8 - Visualization Fisher Discriminant Analysis/25 - Introduction to Fisher Discriminant Analysis.mp4 12.7 MB
1 - Code Environment Setup/1 - Google Colab for Programming in Python.mp4 9.6 MB
15 - Support Vector Machines for Regression/53 - Introduction to Support Vector Machines.mp4 7.5 MB
16 - Support Vector Machines for Classification/61 - text 7.2 MB
16 - Support Vector Machines for Classification/60 - Introduction to Support Vector Machines.mp4 6.4 MB
18 - Neural Networks for Regression/69 - Dataset Information.mp4 4.7 MB
15 - Support Vector Machines for Regression/54 - Energy.csv 4.3 MB
8 - Visualization Fisher Discriminant Analysis/26 - Dataset Information.mp4 3.0 MB
5 - Visualization tStochastic Neighbor Embedding tSNE/14 - Dataset.mp4 3.0 MB
9 - Visualization Final Project Images/30 - Images.mp4 2.0 MB
13 - Regression Understand the Models/44 - Final-Results.ipynb 1.2 MB
3 - Visualization Principal Component Analysis/7 - PCA-in-Crabs-Dataset.ipynb 986.5 KB
16 - Support Vector Machines for Classification/67 - SVM-with-RBF-Kernel.ipynb 876.3 KB
19 - Neural Networks for Classification/78 - Performance-Evaluation.pdf 853.2 KB
16 - Support Vector Machines for Classification/66 - SVM-with-Polynomial-Kernels.ipynb 785.7 KB
16 - Support Vector Machines for Classification/63 - Transformation-to-Data-Matrix.pdf 777.4 KB
19 - Neural Networks for Classification/74 - Consumption.zip 753.0 KB
16 - Support Vector Machines for Classification/67 - Support-Vector-Machine-RBF-Kernel.pdf 743.1 KB
16 - Support Vector Machines for Classification/66 - Support-Vector-Machine-Polynomial-Kernels.pdf 742.4 KB
16 - Support Vector Machines for Classification/65 - Support-Vector-Machine-Linear-Kernel.pdf 742.1 KB
3 - Visualization Principal Component Analysis/6 - Initial-Visualization.ipynb 719.2 KB
16 - Support Vector Machines for Classification/65 - SVM-with-Linear-Kernel.ipynb 682.4 KB
19 - Neural Networks for Classification/76 - Neural-Network-Preprocessing.pdf 650.7 KB
13 - Regression Understand the Models/42 - One-Hot-Encoding.ipynb 617.4 KB
16 - Support Vector Machines for Classification/64 - Dimensionality-Reduction.pdf 609.5 KB
19 - Neural Networks for Classification/75 - Partition-of-the-Dataset.pdf 586.9 KB
5 - Visualization tStochastic Neighbor Embedding tSNE/18 - Using-t-SNE-with-Standardized-Data.ipynb 583.6 KB
13 - Regression Understand the Models/41 - Scaling-Data.ipynb 582.9 KB
1 - Code Environment Setup/1 - Google-Colab-for-Programming-in-Python.pdf 577.8 KB
16 - Support Vector Machines for Classification/64 - Dimensionality-Reduction.ipynb 568.7 KB
14 - Classification/52 - Logistic-Regression.ipynb 550.9 KB
16 - Support Vector Machines for Classification/62 - Partition-of-the-Dataset.pdf 542.9 KB
18 - Neural Networks for Regression/73 - Multilayer-Perceptron-Neural-Network.pdf 540.3 KB
15 - Support Vector Machines for Regression/59 - Support-Vector-Machine-RBF-Kernel.pdf 537.8 KB
19 - Neural Networks for Classification/74 - Introduction-to-the-Dataset.pdf 522.6 KB
15 - Support Vector Machines for Regression/58 - Support-Vector-Machine-Polynomial-Kernels.pdf 516.6 KB
15 - Support Vector Machines for Regression/57 - Support-Vector-Machine-Linear-Kernel.pdf 516.3 KB
16 - Support Vector Machines for Classification/61 - Introduction-to-the-Dataset.pdf 492.0 KB
15 - Support Vector Machines for Regression/56 - Partition-of-the-Dataset-Time-Series-Windows.pdf 491.9 KB
18 - Neural Networks for Regression/72 - Partition-of-the-Dataset-Time-Series-Windows.pdf 491.9 KB
14 - Classification/51 - Quadratic-Classifer.ipynb 443.6 KB
15 - Support Vector Machines for Regression/55 - Partition-of-the-Dataset-Target-Variable.pdf 424.9 KB
18 - Neural Networks for Regression/71 - Partition-of-the-Dataset-Target-Variable.pdf 424.9 KB
5 - Visualization tStochastic Neighbor Embedding tSNE/17 - Using-t-SNE-with-Scaled-Data.ipynb 395.5 KB
14 - Classification/50 - Naives-Bayes.ipynb 392.1 KB
3 - Visualization Principal Component Analysis/7 - Using-PCA.pdf 388.9 KB
12 - Lasso Regression/39 - Lasso-Regression.ipynb 388.0 KB
17 - Neural Networks/68 - Introduction-to-Neural-Networks.pdf 382.4 KB
5 - Visualization tStochastic Neighbor Embedding tSNE/13 - Introduction-to-t-SNE.pdf 374.7 KB
10 - Linear Regression/33 - LifeExpectancy.csv 367.2 KB
13 - Regression Understand the Models/44 - LifeExpectancy.csv 367.2 KB
15 - Support Vector Machines for Regression/54 - Introduction-to-the-Dataset.pdf 362.1 KB
18 - Neural Networks for Regression/70 - Introduction-to-the-Dataset.pdf 362.1 KB
15 - Support Vector Machines for Regression/59 - SVM-RBF-Kernel.ipynb 359.8 KB
16 - Support Vector Machines for Classification/63 - Transformation-to-Data-Matrix.ipynb 344.4 KB
14 - Classification/49 - Linear-Discriminant-Analysis.ipynb 331.7 KB
10 - Linear Regression/37 - Cross-Validation.ipynb 327.3 KB
9 - Visualization Final Project Images/32 - Fisher-Discriminant-Analysis.ipynb 316.7 KB
10 - Linear Regression/36 - Metrics.ipynb 316.6 KB
14 - Classification/49 - Linear-Discriminant-Analysis.pdf 315.0 KB
14 - Classification/50 - Naive-Bayes-Classifier.pdf 314.4 KB
14 - Classification/52 - Logistic-Regression.pdf 313.9 KB
14 - Classification/51 - Quadratic-Classifier.pdf 313.7 KB
10 - Linear Regression/35 - Linear-Regression.ipynb 303.5 KB
9 - Visualization Final Project Images/32 - Fisher-Discriminant-Analysis.pdf 303.2 KB
9 - Visualization Final Project Images/31 - Introduction-to-Image-Dataset.pdf 302.8 KB
4 - Visualization Locally Linear Embedding LLE/9 - Locally-Linear-Embedding-Algorithm.pdf 296.0 KB
2 - Introduction Preprocessing and Analysis/3 - Basic-Visualization.pdf 277.2 KB
15 - Support Vector Machines for Regression/58 - SVM-Polynomial-Kernels.ipynb 257.7 KB
8 - Visualization Fisher Discriminant Analysis/29 - Fisher-Discriminant-Analysis-with-3-Dimensions.pdf 251.0 KB
8 - Visualization Fisher Discriminant Analysis/28 - Fisher-Discriminant-Analysis-with-2-Dimensions.pdf 250.9 KB
10 - Linear Regression/37 - Cross-Validation.pdf 245.1 KB
3 - Visualization Principal Component Analysis/6 - Initial-Visualization.pdf 243.9 KB
4 - Visualization Locally Linear Embedding LLE/12 - LLE-with-3-Dimensions.pdf 237.1 KB
4 - Visualization Locally Linear Embedding LLE/8 - Introduction-to-LLE.pdf 237.0 KB
6 - Visualization Multidimensional Scaling MDS/21 - MDS-with-3-Dimensions.ipynb 230.7 KB
7 - Visualization ISOMAP/24 - ISOMAP-with-3-Dimensions.ipynb 224.8 KB
4 - Visualization Locally Linear Embedding LLE/12 - LLE-with-3-Dimensions.ipynb 218.6 KB
8 - Visualization Fisher Discriminant Analysis/29 - Fisher-Discriminant-Analysis-with-3-Dimensions.ipynb 216.0 KB
13 - Regression Understand the Models/42 - One-Hot-Encoding.pdf 201.1 KB
4 - Visualization Locally Linear Embedding LLE/11 - Using-LLE.pdf 199.8 KB
2 - Introduction Preprocessing and Analysis/2 - Initial-Study-of-the-Dataset.pdf 196.9 KB
14 - Classification/47 - Preprocessing.pdf 194.8 KB
3 - Visualization Principal Component Analysis/4 - Introduction-to-PCA.pdf 194.4 KB
14 - Classification/45 - Introduction-to-the-Dataset.pdf 193.9 KB
5 - Visualization tStochastic Neighbor Embedding tSNE/16 - Using-t-SNE-with-Raw-Data.ipynb 192.8 KB
14 - Classification/46 - Partition-of-the-Dataset.pdf 191.0 KB
11 - Ridge Regression/38 - Ridge-Regression.pdf 186.4 KB
5 - Visualization tStochastic Neighbor Embedding tSNE/18 - Using-t-SNE-on-Standardized-Data.pdf 182.7 KB
5 - Visualization tStochastic Neighbor Embedding tSNE/16 - Using-t-SNE-on-Raw-Data.pdf 182.0 KB
5 - Visualization tStochastic Neighbor Embedding tSNE/17 - Using-t-SNE-on-Scaled-Data.pdf 180.8 KB
10 - Linear Regression/33 - Introduction-to-the-Dataset.pdf 173.7 KB
10 - Linear Regression/34 - Preprocessing.pdf 169.0 KB
3 - Visualization Principal Component Analysis/5 - Introduction-to-the-Dataset.pdf 168.0 KB
10 - Linear Regression/35 - Linear-Regression.pdf 167.9 KB
12 - Lasso Regression/39 - Lasso-Regression.pdf 167.2 KB
7 - Visualization ISOMAP/22 - Introduction-to-ISOMAP.pdf 164.3 KB
18 - Neural Networks for Regression/73 - MLP.ipynb 163.7 KB
4 - Visualization Locally Linear Embedding LLE/10 - Introduction-to-the-Dataset.pdf 163.2 KB
5 - Visualization tStochastic Neighbor Embedding tSNE/15 - Introduction-to-the-Dataset.pdf 163.2 KB
8 - Visualization Fisher Discriminant Analysis/27 - Introduction-to-the-Dataset.pdf 163.2 KB
10 - Linear Regression/36 - Metrics.pdf 162.4 KB
19 - Neural Networks for Classification/78 - Performance-Evaluation.ipynb 162.2 KB
7 - Visualization ISOMAP/24 - ISOMAP-with-3-Dimensions.pdf 160.2 KB
13 - Regression Understand the Models/41 - Data-Scaling.pdf 160.1 KB
7 - Visualization ISOMAP/23 - ISOMAP-with-2-Dimensions.pdf 160.0 KB
6 - Visualization Multidimensional Scaling MDS/20 - Multidimensional-Scaling-with-2-Dimensions.pdf 158.9 KB
6 - Visualization Multidimensional Scaling MDS/21 - Multidimensional-Scaling-with-3-Dimensions.pdf 158.8 KB
15 - Support Vector Machines for Regression/57 - SVM-Linear-Kernel.ipynb 157.0 KB
13 - Regression Understand the Models/40 - Initial-Analysis.pdf 155.4 KB
13 - Regression Understand the Models/44 - Final-Results.pdf 155.1 KB
14 - Classification/47 - Preprocessing.ipynb 151.0 KB
2 - Introduction Preprocessing and Analysis/3 - Basic-Visualization.ipynb 116.6 KB
2 - Introduction Preprocessing and Analysis/2 - titanic.csv 104.5 KB
8 - Visualization Fisher Discriminant Analysis/28 - Fisher-Discriminant-Analysis-with-2-Dimensions.ipynb 97.4 KB
7 - Visualization ISOMAP/23 - ISOMAP-with-2-Dimensions.ipynb 90.1 KB
6 - Visualization Multidimensional Scaling MDS/20 - MDS-with-2-Dimensions.ipynb 89.6 KB
4 - Visualization Locally Linear Embedding LLE/11 - Using-Locally-Linear-Embedding.ipynb 83.7 KB
15 - Support Vector Machines for Regression/56 - Partition-of-the-Dataset-Time-Series-Windows.ipynb 52.4 KB
18 - Neural Networks for Regression/72 - Partition-of-the-Dataset-Time-Series-Windows.ipynb 52.4 KB
14 - Classification/46 - Partition-of-Dataset.ipynb 49.5 KB
15 - Support Vector Machines for Regression/55 - Partition-of-the-Dataset-Target-Variable.ipynb 49.4 KB
18 - Neural Networks for Regression/71 - Partition-of-the-Dataset-Target-Variable.ipynb 49.4 KB
2 - Introduction Preprocessing and Analysis/2 - Initial-Study.ipynb 48.9 KB
15 - Support Vector Machines for Regression/54 - Introduction-to-the-Dataset.ipynb 48.4 KB
18 - Neural Networks for Regression/70 - Introduction-to-the-Dataset.ipynb 48.4 KB
19 - Neural Networks for Classification/76 - Multilayer-Perceptron-Neural-Network-Preprocessing.ipynb 48.0 KB
14 - Classification/45 - Introduction-to-the-Dataset.ipynb 45.8 KB
19 - Neural Networks for Classification/75 - Partition-of-the-Dataset.ipynb 45.0 KB
3 - Visualization Principal Component Analysis/5 - Introduction-to-the-Dataset.ipynb 43.9 KB
19 - Neural Networks for Classification/74 - Introduction-to-the-Dataset.ipynb 43.8 KB
16 - Support Vector Machines for Classification/61 - labels 36.1 KB
10 - Linear Regression/34 - Preprocessing.ipynb 31.3 KB
9 - Visualization Final Project Images/31 - Introduction-to-Image-Dataset.ipynb 22.2 KB
10 - Linear Regression/33 - Introduction-to-the-Dataset.ipynb 15.5 KB
16 - Support Vector Machines for Classification/62 - Partition-of-the-Dataset.ipynb 11.3 KB
4 - Visualization Locally Linear Embedding LLE/10 - Introduction-to-the-Dataset.ipynb 11.1 KB
5 - Visualization tStochastic Neighbor Embedding tSNE/15 - Introduction-to-the-Dataset.ipynb 11.1 KB
8 - Visualization Fisher Discriminant Analysis/27 - Introduction-to-the-Dataset.ipynb 11.1 KB
3 - Visualization Principal Component Analysis/5 - crabs.csv 6.0 KB
3 - Visualization Principal Component Analysis/6 - crabs.csv 6.0 KB
4 - Visualization Locally Linear Embedding LLE/10 - crabs.csv 6.0 KB
4 - Visualization Locally Linear Embedding LLE/11 - crabs.csv 6.0 KB
4 - Visualization Locally Linear Embedding LLE/12 - crabs.csv 6.0 KB
5 - Visualization tStochastic Neighbor Embedding tSNE/15 - crabs.csv 6.0 KB
8 - Visualization Fisher Discriminant Analysis/27 - crabs.csv 6.0 KB
16 - Support Vector Machines for Classification/61 - Introduction-to-the-Dataset.ipynb 5.3 KB
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