[ FreeCourseWeb.com ] Udemy - Machine Learning Project - Heart Attack Prediction Analysis

Creation Time	Dec. 14, 2023, 12:01 p.m.
Last Access Time	May 31, 2026, 4:10 p.m.
File Size	2.1 GB
Keywords	Project Heart - Prediction Analysis Udemy Machine Attack FreeCourseWeb Learning com
Total Requests	476
Total Files	105
Magnet Link	Please wait ...
	Download (Magnet Link) Play (Watch Online)

~Get Your Files Here !/1. Introduction to Machine Learning with Real Hearth Attack Prediction Project/6. Recognizing Variables In Dataset.mp4 115.3 MB
~Get Your Files Here !/1. Introduction to Machine Learning with Real Hearth Attack Prediction Project/1. First Step to the Hearth Attack Prediction Project.mp4 108.6 MB
~Get Your Files Here !/1. Introduction to Machine Learning with Real Hearth Attack Prediction Project/3. Notebook Design to be Used in the Project.mp4 97.7 MB
~Get Your Files Here !/3. Preparation For Exploratory Data Analysis (EDA) in Data Science/4. Examining Statistics of Variables.mp4 84.3 MB
~Get Your Files Here !/5. Exploratory Data Analysis (EDA) - Bi-variate Analysis/14. Relationships between variables (Analysis with Heatmap) Lesson 2.mp4 82.5 MB
~Get Your Files Here !/4. Exploratory Data Analysis (EDA) - Uni-variate Analysis/4. Categoric Variables (Analysis with Pie Chart) Lesson 2.mp4 78.0 MB
~Get Your Files Here !/4. Exploratory Data Analysis (EDA) - Uni-variate Analysis/1. Numeric Variables (Analysis with Distplot) Lesson 1.mp4 74.6 MB
~Get Your Files Here !/1. Introduction to Machine Learning with Real Hearth Attack Prediction Project/5. Examining the Project Topic.mp4 71.7 MB
~Get Your Files Here !/4. Exploratory Data Analysis (EDA) - Uni-variate Analysis/3. Categoric Variables (Analysis with Pie Chart) Lesson 1.mp4 69.0 MB
~Get Your Files Here !/5. Exploratory Data Analysis (EDA) - Bi-variate Analysis/10. Numerical - Categorical Variables (Analysis with Swarm Plot) Lesson 2.mp4 64.0 MB
~Get Your Files Here !/2. First Organization/1. Required Python Libraries.mp4 58.8 MB
~Get Your Files Here !/2. First Organization/3. Initial analysis on the dataset.mp4 58.7 MB
~Get Your Files Here !/7. Modelling for Machine Learning/4. Hyperparameter Optimization (with GridSearchCV).mp4 54.7 MB
~Get Your Files Here !/5. Exploratory Data Analysis (EDA) - Bi-variate Analysis/4. Categoric Variables – Target Variable (Analysis with Count Plot) Lesson 2.mp4 52.3 MB
~Get Your Files Here !/4. Exploratory Data Analysis (EDA) - Uni-variate Analysis/5. Examining the Missing Data According to the Analysis Result.mp4 50.0 MB
~Get Your Files Here !/5. Exploratory Data Analysis (EDA) - Bi-variate Analysis/8. Creating a New DataFrame with the Melt() Function.mp4 48.8 MB
~Get Your Files Here !/7. Modelling for Machine Learning/8. Hyperparameter Optimization (with GridSearchCV).mp4 48.6 MB
~Get Your Files Here !/5. Exploratory Data Analysis (EDA) - Bi-variate Analysis/1. Numeric Variables – Target Variable (Analysis with FacetGrid) Lesson 1.mp4 45.3 MB
~Get Your Files Here !/5. Exploratory Data Analysis (EDA) - Bi-variate Analysis/6. Examining Numeric Variables Among Themselves (Analysis with Pair Plot) Lesson 2.mp4 43.9 MB
~Get Your Files Here !/3. Preparation For Exploratory Data Analysis (EDA) in Data Science/1. Examining Missing Values.mp4 42.4 MB
~Get Your Files Here !/3. Preparation For Exploratory Data Analysis (EDA) in Data Science/2. Examining Unique Values.mp4 41.0 MB
~Get Your Files Here !/6. Preparation for Modelling in Machine Learning/4. Dealing with Outliers – Trtbps Variable Lesson 2.mp4 40.8 MB
~Get Your Files Here !/6. Preparation for Modelling in Machine Learning/3. Dealing with Outliers – Trtbps Variable Lesson 1.mp4 40.0 MB
~Get Your Files Here !/5. Exploratory Data Analysis (EDA) - Bi-variate Analysis/9. Numerical - Categorical Variables (Analysis with Swarm Plot) Lesson 1.mp4 39.3 MB
~Get Your Files Here !/7. Modelling for Machine Learning/3. Roc Curve and Area Under Curve (AUC).mp4 38.6 MB
~Get Your Files Here !/5. Exploratory Data Analysis (EDA) - Bi-variate Analysis/11. Numerical - Categorical Variables (Analysis with Box Plot) Lesson 1.mp4 36.0 MB
~Get Your Files Here !/5. Exploratory Data Analysis (EDA) - Bi-variate Analysis/13. Relationships between variables (Analysis with Heatmap) Lesson 1.mp4 33.7 MB
~Get Your Files Here !/6. Preparation for Modelling in Machine Learning/5. Dealing with Outliers – Thalach Variable.mp4 33.7 MB
~Get Your Files Here !/6. Preparation for Modelling in Machine Learning/6. Dealing with Outliers – Oldpeak Variable.mp4 33.3 MB
~Get Your Files Here !/5. Exploratory Data Analysis (EDA) - Bi-variate Analysis/12. Numerical - Categorical Variables (Analysis with Box Plot) Lesson 2.mp4 32.8 MB
~Get Your Files Here !/5. Exploratory Data Analysis (EDA) - Bi-variate Analysis/2. Numeric Variables – Target Variable (Analysis with FacetGrid) Lesson 2.mp4 32.8 MB
~Get Your Files Here !/6. Preparation for Modelling in Machine Learning/2. Visualizing Outliers.mp4 32.7 MB
~Get Your Files Here !/5. Exploratory Data Analysis (EDA) - Bi-variate Analysis/7. Feature Scaling with the Robust Scaler Method.mp4 32.6 MB
~Get Your Files Here !/7. Modelling for Machine Learning/2. Cross Validation.mp4 28.2 MB
~Get Your Files Here !/6. Preparation for Modelling in Machine Learning/11. Separating Data into Test and Training Set.mp4 27.8 MB
~Get Your Files Here !/7. Modelling for Machine Learning/7. Random Forest Algorithm.mp4 27.7 MB
~Get Your Files Here !/7. Modelling for Machine Learning/1. Logistic Regression.mp4 27.3 MB
~Get Your Files Here !/8. Conclusion/1. Project Conclusion and Sharing.mp4 27.0 MB
~Get Your Files Here !/5. Exploratory Data Analysis (EDA) - Bi-variate Analysis/5. Examining Numeric Variables Among Themselves (Analysis with Pair Plot) Lesson 1.mp4 26.6 MB
~Get Your Files Here !/6. Preparation for Modelling in Machine Learning/1. Dropping Columns with Low Correlation.mp4 24.8 MB
~Get Your Files Here !/7. Modelling for Machine Learning/5. Decision Tree Algorithm.mp4 24.0 MB
~Get Your Files Here !/6. Preparation for Modelling in Machine Learning/7. Determining Distributions of Numeric Variables.mp4 23.3 MB
~Get Your Files Here !/7. Modelling for Machine Learning/6. Support Vector Machine Algorithm.mp4 22.7 MB
~Get Your Files Here !/6. Preparation for Modelling in Machine Learning/9. Applying One Hot Encoding Method to Categorical Variables.mp4 22.4 MB
~Get Your Files Here !/5. Exploratory Data Analysis (EDA) - Bi-variate Analysis/3. Categoric Variables – Target Variable (Analysis with Count Plot) Lesson 1.mp4 22.3 MB
~Get Your Files Here !/6. Preparation for Modelling in Machine Learning/8. Transformation Operations on Unsymmetrical Data.mp4 22.2 MB
~Get Your Files Here !/4. Exploratory Data Analysis (EDA) - Uni-variate Analysis/2. Numeric Variables (Analysis with Distplot) Lesson 2.mp4 18.3 MB
~Get Your Files Here !/3. Preparation For Exploratory Data Analysis (EDA) in Data Science/3. Separating variables (Numeric or Categorical).mp4 14.7 MB
~Get Your Files Here !/6. Preparation for Modelling in Machine Learning/10. Feature Scaling with the Robust Scaler Method for Machine Learning Algorithms.mp4 10.6 MB
~Get Your Files Here !/2. First Organization/2. Loading the Statistics Dataset in Data Science.mp4 9.3 MB
~Get Your Files Here !/3. Preparation For Exploratory Data Analysis (EDA) in Data Science/4. Examining Statistics of Variables.srt 24.6 KB
~Get Your Files Here !/1. Introduction to Machine Learning with Real Hearth Attack Prediction Project/6. Recognizing Variables In Dataset.srt 23.8 KB
~Get Your Files Here !/1. Introduction to Machine Learning with Real Hearth Attack Prediction Project/1. First Step to the Hearth Attack Prediction Project.srt 21.4 KB
~Get Your Files Here !/4. Exploratory Data Analysis (EDA) - Uni-variate Analysis/4. Categoric Variables (Analysis with Pie Chart) Lesson 2.srt 20.9 KB
~Get Your Files Here !/1. Introduction to Machine Learning with Real Hearth Attack Prediction Project/3. Notebook Design to be Used in the Project.srt 20.3 KB
~Get Your Files Here !/4. Exploratory Data Analysis (EDA) - Uni-variate Analysis/1. Numeric Variables (Analysis with Distplot) Lesson 1.srt 20.2 KB
~Get Your Files Here !/4. Exploratory Data Analysis (EDA) - Uni-variate Analysis/3. Categoric Variables (Analysis with Pie Chart) Lesson 1.srt 19.7 KB
~Get Your Files Here !/2. First Organization/3. Initial analysis on the dataset.srt 18.2 KB
~Get Your Files Here !/7. Modelling for Machine Learning/4. Hyperparameter Optimization (with GridSearchCV).srt 17.4 KB
~Get Your Files Here !/5. Exploratory Data Analysis (EDA) - Bi-variate Analysis/4. Categoric Variables – Target Variable (Analysis with Count Plot) Lesson 2.srt 16.7 KB
~Get Your Files Here !/5. Exploratory Data Analysis (EDA) - Bi-variate Analysis/14. Relationships between variables (Analysis with Heatmap) Lesson 2.srt 16.0 KB
~Get Your Files Here !/5. Exploratory Data Analysis (EDA) - Bi-variate Analysis/10. Numerical - Categorical Variables (Analysis with Swarm Plot) Lesson 2.srt 15.4 KB
~Get Your Files Here !/1. Introduction to Machine Learning with Real Hearth Attack Prediction Project/2. FAQ about Machine Learning, Data Science.html 15.3 KB
~Get Your Files Here !/6. Preparation for Modelling in Machine Learning/4. Dealing with Outliers – Trtbps Variable Lesson 2.srt 15.2 KB
~Get Your Files Here !/5. Exploratory Data Analysis (EDA) - Bi-variate Analysis/8. Creating a New DataFrame with the Melt() Function.srt 15.1 KB
~Get Your Files Here !/7. Modelling for Machine Learning/8. Hyperparameter Optimization (with GridSearchCV).srt 14.4 KB
~Get Your Files Here !/1. Introduction to Machine Learning with Real Hearth Attack Prediction Project/5. Examining the Project Topic.srt 13.9 KB
~Get Your Files Here !/4. Exploratory Data Analysis (EDA) - Uni-variate Analysis/5. Examining the Missing Data According to the Analysis Result.srt 13.9 KB
~Get Your Files Here !/6. Preparation for Modelling in Machine Learning/3. Dealing with Outliers – Trtbps Variable Lesson 1.srt 13.7 KB
~Get Your Files Here !/3. Preparation For Exploratory Data Analysis (EDA) in Data Science/1. Examining Missing Values.srt 13.2 KB
~Get Your Files Here !/3. Preparation For Exploratory Data Analysis (EDA) in Data Science/2. Examining Unique Values.srt 12.9 KB
~Get Your Files Here !/2. First Organization/1. Required Python Libraries.srt 12.8 KB
~Get Your Files Here !/6. Preparation for Modelling in Machine Learning/2. Visualizing Outliers.srt 11.9 KB
~Get Your Files Here !/5. Exploratory Data Analysis (EDA) - Bi-variate Analysis/7. Feature Scaling with the Robust Scaler Method.srt 11.7 KB
~Get Your Files Here !/5. Exploratory Data Analysis (EDA) - Bi-variate Analysis/1. Numeric Variables – Target Variable (Analysis with FacetGrid) Lesson 1.srt 11.3 KB
~Get Your Files Here !/6. Preparation for Modelling in Machine Learning/5. Dealing with Outliers – Thalach Variable.srt 11.2 KB
~Get Your Files Here !/6. Preparation for Modelling in Machine Learning/6. Dealing with Outliers – Oldpeak Variable.srt 11.0 KB
~Get Your Files Here !/5. Exploratory Data Analysis (EDA) - Bi-variate Analysis/12. Numerical - Categorical Variables (Analysis with Box Plot) Lesson 2.srt 10.3 KB
~Get Your Files Here !/7. Modelling for Machine Learning/3. Roc Curve and Area Under Curve (AUC).srt 10.2 KB
~Get Your Files Here !/5. Exploratory Data Analysis (EDA) - Bi-variate Analysis/11. Numerical - Categorical Variables (Analysis with Box Plot) Lesson 1.srt 10.1 KB
~Get Your Files Here !/5. Exploratory Data Analysis (EDA) - Bi-variate Analysis/2. Numeric Variables – Target Variable (Analysis with FacetGrid) Lesson 2.srt 9.7 KB
~Get Your Files Here !/6. Preparation for Modelling in Machine Learning/11. Separating Data into Test and Training Set.srt 9.4 KB
~Get Your Files Here !/7. Modelling for Machine Learning/1. Logistic Regression.srt 9.1 KB
~Get Your Files Here !/5. Exploratory Data Analysis (EDA) - Bi-variate Analysis/6. Examining Numeric Variables Among Themselves (Analysis with Pair Plot) Lesson 2.srt 8.9 KB
~Get Your Files Here !/5. Exploratory Data Analysis (EDA) - Bi-variate Analysis/13. Relationships between variables (Analysis with Heatmap) Lesson 1.srt 8.7 KB
~Get Your Files Here !/7. Modelling for Machine Learning/7. Random Forest Algorithm.srt 8.4 KB
~Get Your Files Here !/5. Exploratory Data Analysis (EDA) - Bi-variate Analysis/9. Numerical - Categorical Variables (Analysis with Swarm Plot) Lesson 1.srt 8.3 KB
~Get Your Files Here !/6. Preparation for Modelling in Machine Learning/9. Applying One Hot Encoding Method to Categorical Variables.srt 7.6 KB
~Get Your Files Here !/7. Modelling for Machine Learning/2. Cross Validation.srt 7.6 KB
~Get Your Files Here !/7. Modelling for Machine Learning/5. Decision Tree Algorithm.srt 7.4 KB
~Get Your Files Here !/5. Exploratory Data Analysis (EDA) - Bi-variate Analysis/5. Examining Numeric Variables Among Themselves (Analysis with Pair Plot) Lesson 1.srt 7.1 KB
~Get Your Files Here !/7. Modelling for Machine Learning/6. Support Vector Machine Algorithm.srt 6.6 KB
~Get Your Files Here !/6. Preparation for Modelling in Machine Learning/7. Determining Distributions of Numeric Variables.srt 6.5 KB
~Get Your Files Here !/6. Preparation for Modelling in Machine Learning/8. Transformation Operations on Unsymmetrical Data.srt 6.3 KB
~Get Your Files Here !/4. Exploratory Data Analysis (EDA) - Uni-variate Analysis/2. Numeric Variables (Analysis with Distplot) Lesson 2.srt 5.3 KB
~Get Your Files Here !/6. Preparation for Modelling in Machine Learning/1. Dropping Columns with Low Correlation.srt 5.2 KB
~Get Your Files Here !/5. Exploratory Data Analysis (EDA) - Bi-variate Analysis/3. Categoric Variables – Target Variable (Analysis with Count Plot) Lesson 1.srt 5.0 KB
~Get Your Files Here !/8. Conclusion/1. Project Conclusion and Sharing.srt 4.9 KB
~Get Your Files Here !/3. Preparation For Exploratory Data Analysis (EDA) in Data Science/3. Separating variables (Numeric or Categorical).srt 4.6 KB
~Get Your Files Here !/6. Preparation for Modelling in Machine Learning/10. Feature Scaling with the Robust Scaler Method for Machine Learning Algorithms.srt 3.1 KB
~Get Your Files Here !/2. First Organization/2. Loading the Statistics Dataset in Data Science.srt 2.7 KB
~Get Your Files Here !/Bonus Resources.txt 386 bytes
~Get Your Files Here !/9. Extra/1. Machine Learning with Real Hearth Attack Prediction Project.html 266 bytes
Get Bonus Downloads Here.url 183 bytes
~Get Your Files Here !/1. Introduction to Machine Learning with Real Hearth Attack Prediction Project/4. Project Link File - Hearth Attack Prediction Project, Machine Learning.html 108 bytes

[ FreeCourseWeb.com ] Udemy - Machine Learning Project - Heart Attack Prediction Analysis

File List

Download Torrent

Related Resources

Copyright Infringement