[ FreeCourseWeb.com ] Udemy - Kaggle Master with Heart Attack Prediction Kaggle Project

Creation Time	Nov. 24, 2024, 11:49 p.m.
Last Access Time	May 27, 2025, 1:54 p.m.
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~Get Your Files Here !/2. Competition Section on Kaggle/2. Competitions on Kaggle Lesson 2.mp4 179.5 MB
~Get Your Files Here !/2. Competition Section on Kaggle/1. Competitions on Kaggle Lesson 1.mp4 174.9 MB
~Get Your Files Here !/4. Code Section on Kaggle/3. Examining the Code Section in Kaggle Lesson 3.mp4 148.5 MB
~Get Your Files Here !/3. Dataset Section on Kaggle/1. Datasets on Kaggle.mp4 122.6 MB
~Get Your Files Here !/1. First Contact with Kaggle/1. What is Kaggle.mp4 122.4 MB
~Get Your Files Here !/8. Introduction to Machine Learning with Real Hearth Attack Prediction Project/6. Recognizing Variables In Dataset.mp4 115.4 MB
~Get Your Files Here !/1. First Contact with Kaggle/4. Getting to Know the Kaggle Homepage.mp4 112.4 MB
~Get Your Files Here !/8. 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 !/6. Other Most Used Options on Kaggle/2. Ranking Among Users on Kaggle.mp4 99.2 MB
~Get Your Files Here !/4. Code Section on Kaggle/2. Examining the Code Section in Kaggle Lesson 2.mp4 98.0 MB
~Get Your Files Here !/8. 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 !/10. Preparation For Exploratory Data Analysis (EDA) in Data Science/4. Examining Statistics of Variables.mp4 84.3 MB
~Get Your Files Here !/12. Exploratory Data Analysis (EDA) - Bi-variate Analysis/14. Relationships between variables (Analysis with Heatmap) Lesson 2.mp4 82.5 MB
~Get Your Files Here !/11. Exploratory Data Analysis (EDA) - Uni-variate Analysis/4. Categoric Variables (Analysis with Pie Chart) Lesson 2.mp4 78.0 MB
~Get Your Files Here !/7. Details on Kaggle/1. User Page Review on Kaggle.mp4 74.8 MB
~Get Your Files Here !/11. Exploratory Data Analysis (EDA) - Uni-variate Analysis/1. Numeric Variables (Analysis with Distplot) Lesson 1.mp4 74.6 MB
~Get Your Files Here !/4. Code Section on Kaggle/1. Examining the Code Section in Kaggle Lesson 1.mp4 73.4 MB
~Get Your Files Here !/8. Introduction to Machine Learning with Real Hearth Attack Prediction Project/5. Examining the Project Topic.mp4 71.7 MB
~Get Your Files Here !/7. Details on Kaggle/2. Treasure in The Kaggle.mp4 69.7 MB
~Get Your Files Here !/11. Exploratory Data Analysis (EDA) - Uni-variate Analysis/3. Categoric Variables (Analysis with Pie Chart) Lesson 1.mp4 69.0 MB
~Get Your Files Here !/12. 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 !/9. First Organization/1. Required Python Libraries.mp4 58.7 MB
~Get Your Files Here !/9. First Organization/3. Initial analysis on the dataset.mp4 58.6 MB
~Get Your Files Here !/7. Details on Kaggle/4. What Should Be Done to Achieve Success in Kaggle.mp4 55.4 MB
~Get Your Files Here !/14. Modelling for Machine Learning/4. Hyperparameter Optimization (with GridSearchCV).mp4 54.7 MB
~Get Your Files Here !/12. 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 !/11. 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 !/12. Exploratory Data Analysis (EDA) - Bi-variate Analysis/8. Creating a New DataFrame with the Melt() Function.mp4 48.8 MB
~Get Your Files Here !/14. Modelling for Machine Learning/8. Hyperparameter Optimization (with GridSearchCV).mp4 48.6 MB
~Get Your Files Here !/6. Other Most Used Options on Kaggle/1. Courses in Kaggle.mp4 48.0 MB
~Get Your Files Here !/12. Exploratory Data Analysis (EDA) - Bi-variate Analysis/1. Numeric Variables – Target Variable (Analysis with FacetGrid) Lesson 1.mp4 45.4 MB
~Get Your Files Here !/12. 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 !/10. Preparation For Exploratory Data Analysis (EDA) in Data Science/1. Examining Missing Values.mp4 42.4 MB
~Get Your Files Here !/10. Preparation For Exploratory Data Analysis (EDA) in Data Science/2. Examining Unique Values.mp4 41.0 MB
~Get Your Files Here !/13. Preparation for Modelling in Machine Learning/4. Dealing with Outliers – Trtbps Variable Lesson 2.mp4 40.8 MB
~Get Your Files Here !/1. First Contact with Kaggle/3. Registering on Kaggle and Member Login Procedures.mp4 40.5 MB
~Get Your Files Here !/13. Preparation for Modelling in Machine Learning/3. Dealing with Outliers – Trtbps Variable Lesson 1.mp4 40.0 MB
~Get Your Files Here !/12. Exploratory Data Analysis (EDA) - Bi-variate Analysis/9. Numerical - Categorical Variables (Analysis with Swarm Plot) Lesson 1.mp4 39.2 MB
~Get Your Files Here !/6. Other Most Used Options on Kaggle/3. Blog and Documentation Sections.mp4 38.8 MB
~Get Your Files Here !/14. Modelling for Machine Learning/3. Roc Curve and Area Under Curve (AUC).mp4 38.6 MB
~Get Your Files Here !/5. Discussion Section on Kaggle/1. What is Discussion on Kaggle.mp4 37.8 MB
~Get Your Files Here !/12. 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 !/7. Details on Kaggle/3. Publishing Notebooks on Kaggle.mp4 35.4 MB
~Get Your Files Here !/13. Preparation for Modelling in Machine Learning/5. Dealing with Outliers – Thalach Variable.mp4 33.7 MB
~Get Your Files Here !/12. Exploratory Data Analysis (EDA) - Bi-variate Analysis/13. Relationships between variables (Analysis with Heatmap) Lesson 1.mp4 33.7 MB
~Get Your Files Here !/13. Preparation for Modelling in Machine Learning/6. Dealing with Outliers – Oldpeak Variable.mp4 33.3 MB
~Get Your Files Here !/12. 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 !/12. 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 !/13. Preparation for Modelling in Machine Learning/2. Visualizing Outliers.mp4 32.7 MB
~Get Your Files Here !/12. Exploratory Data Analysis (EDA) - Bi-variate Analysis/7. Feature Scaling with the Robust Scaler Method.mp4 32.7 MB
~Get Your Files Here !/14. Modelling for Machine Learning/2. Cross Validation.mp4 28.2 MB
~Get Your Files Here !/13. Preparation for Modelling in Machine Learning/11. Separating Data into Test and Training Set.mp4 27.8 MB
~Get Your Files Here !/14. Modelling for Machine Learning/7. Random Forest Algorithm.mp4 27.7 MB
~Get Your Files Here !/14. Modelling for Machine Learning/1. Logistic Regression.mp4 27.3 MB
~Get Your Files Here !/15. Conclusion/1. Project Conclusion and Sharing.mp4 27.0 MB
~Get Your Files Here !/12. 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 !/13. Preparation for Modelling in Machine Learning/1. Dropping Columns with Low Correlation.mp4 24.8 MB
~Get Your Files Here !/14. Modelling for Machine Learning/5. Decision Tree Algorithm.mp4 24.0 MB
~Get Your Files Here !/13. Preparation for Modelling in Machine Learning/7. Determining Distributions of Numeric Variables.mp4 23.3 MB
~Get Your Files Here !/14. Modelling for Machine Learning/6. Support Vector Machine Algorithm.mp4 22.7 MB
~Get Your Files Here !/13. Preparation for Modelling in Machine Learning/9. Applying One Hot Encoding Method to Categorical Variables.mp4 22.4 MB
~Get Your Files Here !/12. 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 !/13. Preparation for Modelling in Machine Learning/8. Transformation Operations on Unsymmetrical Data.mp4 22.2 MB
~Get Your Files Here !/11. Exploratory Data Analysis (EDA) - Uni-variate Analysis/2. Numeric Variables (Analysis with Distplot) Lesson 2.mp4 18.3 MB
~Get Your Files Here !/10. Preparation For Exploratory Data Analysis (EDA) in Data Science/3. Separating variables (Numeric or Categorical).mp4 14.7 MB
~Get Your Files Here !/13. 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 !/9. First Organization/2. Loading the Statistics Dataset in Data Science.mp4 9.3 MB
~Get Your Files Here !/2. Competition Section on Kaggle/1. Competitions on Kaggle Lesson 1.srt 30.9 KB
~Get Your Files Here !/2. Competition Section on Kaggle/2. Competitions on Kaggle Lesson 2.srt 30.0 KB
~Get Your Files Here !/4. Code Section on Kaggle/3. Examining the Code Section in Kaggle Lesson 3.srt 27.7 KB
~Get Your Files Here !/1. First Contact with Kaggle/4. Getting to Know the Kaggle Homepage.srt 25.0 KB
~Get Your Files Here !/10. Preparation For Exploratory Data Analysis (EDA) in Data Science/4. Examining Statistics of Variables.srt 24.6 KB
~Get Your Files Here !/8. Introduction to Machine Learning with Real Hearth Attack Prediction Project/6. Recognizing Variables In Dataset.srt 23.8 KB
~Get Your Files Here !/1. First Contact with Kaggle/1. What is Kaggle.srt 23.0 KB
~Get Your Files Here !/3. Dataset Section on Kaggle/1. Datasets on Kaggle.srt 22.4 KB
~Get Your Files Here !/8. 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. Code Section on Kaggle/2. Examining the Code Section in Kaggle Lesson 2.srt 21.3 KB
~Get Your Files Here !/11. Exploratory Data Analysis (EDA) - Uni-variate Analysis/4. Categoric Variables (Analysis with Pie Chart) Lesson 2.srt 20.9 KB
~Get Your Files Here !/8. 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 !/11. Exploratory Data Analysis (EDA) - Uni-variate Analysis/1. Numeric Variables (Analysis with Distplot) Lesson 1.srt 20.2 KB
~Get Your Files Here !/6. Other Most Used Options on Kaggle/2. Ranking Among Users on Kaggle.srt 19.7 KB
~Get Your Files Here !/11. Exploratory Data Analysis (EDA) - Uni-variate Analysis/3. Categoric Variables (Analysis with Pie Chart) Lesson 1.srt 19.7 KB
~Get Your Files Here !/9. First Organization/3. Initial analysis on the dataset.srt 18.2 KB
~Get Your Files Here !/4. Code Section on Kaggle/1. Examining the Code Section in Kaggle Lesson 1.srt 18.1 KB
~Get Your Files Here !/14. Modelling for Machine Learning/4. Hyperparameter Optimization (with GridSearchCV).srt 17.4 KB
~Get Your Files Here !/12. 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 !/12. Exploratory Data Analysis (EDA) - Bi-variate Analysis/14. Relationships between variables (Analysis with Heatmap) Lesson 2.srt 16.0 KB
~Get Your Files Here !/12. 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 !/8. 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 !/13. Preparation for Modelling in Machine Learning/4. Dealing with Outliers – Trtbps Variable Lesson 2.srt 15.2 KB
~Get Your Files Here !/12. Exploratory Data Analysis (EDA) - Bi-variate Analysis/8. Creating a New DataFrame with the Melt() Function.srt 15.1 KB
~Get Your Files Here !/14. Modelling for Machine Learning/8. Hyperparameter Optimization (with GridSearchCV).srt 14.4 KB
~Get Your Files Here !/8. Introduction to Machine Learning with Real Hearth Attack Prediction Project/5. Examining the Project Topic.srt 13.9 KB
~Get Your Files Here !/11. 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 !/7. Details on Kaggle/1. User Page Review on Kaggle.srt 13.9 KB
~Get Your Files Here !/13. Preparation for Modelling in Machine Learning/3. Dealing with Outliers – Trtbps Variable Lesson 1.srt 13.7 KB
~Get Your Files Here !/10. Preparation For Exploratory Data Analysis (EDA) in Data Science/1. Examining Missing Values.srt 13.2 KB
~Get Your Files Here !/10. Preparation For Exploratory Data Analysis (EDA) in Data Science/2. Examining Unique Values.srt 12.9 KB
~Get Your Files Here !/9. First Organization/1. Required Python Libraries.srt 12.8 KB
~Get Your Files Here !/13. Preparation for Modelling in Machine Learning/2. Visualizing Outliers.srt 11.9 KB
~Get Your Files Here !/12. Exploratory Data Analysis (EDA) - Bi-variate Analysis/7. Feature Scaling with the Robust Scaler Method.srt 11.7 KB
~Get Your Files Here !/7. Details on Kaggle/4. What Should Be Done to Achieve Success in Kaggle.srt 11.5 KB
~Get Your Files Here !/12. 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 !/13. Preparation for Modelling in Machine Learning/5. Dealing with Outliers – Thalach Variable.srt 11.2 KB
~Get Your Files Here !/13. Preparation for Modelling in Machine Learning/6. Dealing with Outliers – Oldpeak Variable.srt 11.0 KB
~Get Your Files Here !/1. First Contact with Kaggle/2. FAQ about Kaggle.html 10.9 KB
~Get Your Files Here !/7. Details on Kaggle/2. Treasure in The Kaggle.srt 10.5 KB
~Get Your Files Here !/12. 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 !/14. Modelling for Machine Learning/3. Roc Curve and Area Under Curve (AUC).srt 10.2 KB
~Get Your Files Here !/12. 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 !/12. 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 !/1. First Contact with Kaggle/3. Registering on Kaggle and Member Login Procedures.srt 9.5 KB
~Get Your Files Here !/13. Preparation for Modelling in Machine Learning/11. Separating Data into Test and Training Set.srt 9.4 KB
~Get Your Files Here !/14. Modelling for Machine Learning/1. Logistic Regression.srt 9.1 KB
~Get Your Files Here !/12. 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 !/6. Other Most Used Options on Kaggle/1. Courses in Kaggle.srt 8.7 KB
~Get Your Files Here !/12. Exploratory Data Analysis (EDA) - Bi-variate Analysis/13. Relationships between variables (Analysis with Heatmap) Lesson 1.srt 8.7 KB
~Get Your Files Here !/14. Modelling for Machine Learning/7. Random Forest Algorithm.srt 8.4 KB
~Get Your Files Here !/12. 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 !/5. Discussion Section on Kaggle/1. What is Discussion on Kaggle.srt 7.7 KB
~Get Your Files Here !/13. Preparation for Modelling in Machine Learning/9. Applying One Hot Encoding Method to Categorical Variables.srt 7.6 KB
~Get Your Files Here !/14. Modelling for Machine Learning/2. Cross Validation.srt 7.6 KB
~Get Your Files Here !/14. Modelling for Machine Learning/5. Decision Tree Algorithm.srt 7.4 KB
~Get Your Files Here !/7. Details on Kaggle/3. Publishing Notebooks on Kaggle.srt 7.2 KB
~Get Your Files Here !/12. 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 !/14. Modelling for Machine Learning/6. Support Vector Machine Algorithm.srt 6.6 KB
~Get Your Files Here !/13. Preparation for Modelling in Machine Learning/7. Determining Distributions of Numeric Variables.srt 6.5 KB
~Get Your Files Here !/6. Other Most Used Options on Kaggle/3. Blog and Documentation Sections.srt 6.5 KB
~Get Your Files Here !/13. Preparation for Modelling in Machine Learning/8. Transformation Operations on Unsymmetrical Data.srt 6.3 KB
~Get Your Files Here !/11. Exploratory Data Analysis (EDA) - Uni-variate Analysis/2. Numeric Variables (Analysis with Distplot) Lesson 2.srt 5.3 KB
~Get Your Files Here !/13. Preparation for Modelling in Machine Learning/1. Dropping Columns with Low Correlation.srt 5.2 KB
~Get Your Files Here !/12. 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 !/15. Conclusion/1. Project Conclusion and Sharing.srt 4.9 KB
~Get Your Files Here !/10. Preparation For Exploratory Data Analysis (EDA) in Data Science/3. Separating variables (Numeric or Categorical).srt 4.6 KB
~Get Your Files Here !/13. 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 !/9. 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 !/16. Extra/1. Kaggle Masterclass with Hearth Attack Prediction Project.html 266 bytes
Get Bonus Downloads Here.url 183 bytes
~Get Your Files Here !/8. Introduction to Machine Learning with Real Hearth Attack Prediction Project/4. Project Link File - Hearth Attack Prediction Project, Machine Learning.html 108 bytes

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