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

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

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种子哈希：0fa7d08fe1762304d7db2aabc23167b80fb51209
文件大小： 2.14G
已经下载：997次
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收录时间：2023-12-19
最近下载：2024-12-19

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文件列表

  • ~Get Your Files Here !/1. Introduction to Machine Learning with Real Hearth Attack Prediction Project/6. Recognizing Variables In Dataset.mp4 120.9 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 113.8 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 102.4 MB
  • ~Get Your Files Here !/3. Preparation For Exploratory Data Analysis (EDA) in Data Science/4. Examining Statistics of Variables.mp4 88.4 MB
  • ~Get Your Files Here !/5. Exploratory Data Analysis (EDA) - Bi-variate Analysis/14. Relationships between variables (Analysis with Heatmap) Lesson 2.mp4 86.5 MB
  • ~Get Your Files Here !/4. Exploratory Data Analysis (EDA) - Uni-variate Analysis/4. Categoric Variables (Analysis with Pie Chart) Lesson 2.mp4 81.8 MB
  • ~Get Your Files Here !/4. Exploratory Data Analysis (EDA) - Uni-variate Analysis/1. Numeric Variables (Analysis with Distplot) Lesson 1.mp4 78.2 MB
  • ~Get Your Files Here !/1. Introduction to Machine Learning with Real Hearth Attack Prediction Project/5. Examining the Project Topic.mp4 75.1 MB
  • ~Get Your Files Here !/4. Exploratory Data Analysis (EDA) - Uni-variate Analysis/3. Categoric Variables (Analysis with Pie Chart) Lesson 1.mp4 72.4 MB
  • ~Get Your Files Here !/5. Exploratory Data Analysis (EDA) - Bi-variate Analysis/10. Numerical - Categorical Variables (Analysis with Swarm Plot) Lesson 2.mp4 67.1 MB
  • ~Get Your Files Here !/2. First Organization/1. Required Python Libraries.mp4 61.6 MB
  • ~Get Your Files Here !/2. First Organization/3. Initial analysis on the dataset.mp4 61.5 MB
  • ~Get Your Files Here !/7. Modelling for Machine Learning/4. Hyperparameter Optimization (with GridSearchCV).mp4 57.4 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 54.9 MB
  • ~Get Your Files Here !/4. Exploratory Data Analysis (EDA) - Uni-variate Analysis/5. Examining the Missing Data According to the Analysis Result.mp4 52.4 MB
  • ~Get Your Files Here !/5. Exploratory Data Analysis (EDA) - Bi-variate Analysis/8. Creating a New DataFrame with the Melt() Function.mp4 51.1 MB
  • ~Get Your Files Here !/7. Modelling for Machine Learning/8. Hyperparameter Optimization (with GridSearchCV).mp4 50.9 MB
  • ~Get Your Files Here !/5. Exploratory Data Analysis (EDA) - Bi-variate Analysis/1. Numeric Variables – Target Variable (Analysis with FacetGrid) Lesson 1.mp4 47.5 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 46.0 MB
  • ~Get Your Files Here !/3. Preparation For Exploratory Data Analysis (EDA) in Data Science/1. Examining Missing Values.mp4 44.4 MB
  • ~Get Your Files Here !/3. Preparation For Exploratory Data Analysis (EDA) in Data Science/2. Examining Unique Values.mp4 43.0 MB
  • ~Get Your Files Here !/6. Preparation for Modelling in Machine Learning/4. Dealing with Outliers – Trtbps Variable Lesson 2.mp4 42.8 MB
  • ~Get Your Files Here !/6. Preparation for Modelling in Machine Learning/3. Dealing with Outliers – Trtbps Variable Lesson 1.mp4 41.9 MB
  • ~Get Your Files Here !/5. Exploratory Data Analysis (EDA) - Bi-variate Analysis/9. Numerical - Categorical Variables (Analysis with Swarm Plot) Lesson 1.mp4 41.2 MB
  • ~Get Your Files Here !/7. Modelling for Machine Learning/3. Roc Curve and Area Under Curve (AUC).mp4 40.5 MB
  • ~Get Your Files Here !/5. Exploratory Data Analysis (EDA) - Bi-variate Analysis/11. Numerical - Categorical Variables (Analysis with Box Plot) Lesson 1.mp4 37.7 MB
  • ~Get Your Files Here !/5. Exploratory Data Analysis (EDA) - Bi-variate Analysis/13. Relationships between variables (Analysis with Heatmap) Lesson 1.mp4 35.4 MB
  • ~Get Your Files Here !/6. Preparation for Modelling in Machine Learning/5. Dealing with Outliers – Thalach Variable.mp4 35.3 MB
  • ~Get Your Files Here !/6. Preparation for Modelling in Machine Learning/6. Dealing with Outliers – Oldpeak Variable.mp4 34.9 MB
  • ~Get Your Files Here !/5. Exploratory Data Analysis (EDA) - Bi-variate Analysis/12. Numerical - Categorical Variables (Analysis with Box Plot) Lesson 2.mp4 34.4 MB
  • ~Get Your Files Here !/5. Exploratory Data Analysis (EDA) - Bi-variate Analysis/2. Numeric Variables – Target Variable (Analysis with FacetGrid) Lesson 2.mp4 34.3 MB
  • ~Get Your Files Here !/6. Preparation for Modelling in Machine Learning/2. Visualizing Outliers.mp4 34.3 MB
  • ~Get Your Files Here !/5. Exploratory Data Analysis (EDA) - Bi-variate Analysis/7. Feature Scaling with the Robust Scaler Method.mp4 34.2 MB
  • ~Get Your Files Here !/7. Modelling for Machine Learning/2. Cross Validation.mp4 29.5 MB
  • ~Get Your Files Here !/6. Preparation for Modelling in Machine Learning/11. Separating Data into Test and Training Set.mp4 29.1 MB
  • ~Get Your Files Here !/7. Modelling for Machine Learning/7. Random Forest Algorithm.mp4 29.1 MB
  • ~Get Your Files Here !/7. Modelling for Machine Learning/1. Logistic Regression.mp4 28.6 MB
  • ~Get Your Files Here !/8. Conclusion/1. Project Conclusion and Sharing.mp4 28.3 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 27.9 MB
  • ~Get Your Files Here !/6. Preparation for Modelling in Machine Learning/1. Dropping Columns with Low Correlation.mp4 26.0 MB
  • ~Get Your Files Here !/7. Modelling for Machine Learning/5. Decision Tree Algorithm.mp4 25.2 MB
  • ~Get Your Files Here !/6. Preparation for Modelling in Machine Learning/7. Determining Distributions of Numeric Variables.mp4 24.5 MB
  • ~Get Your Files Here !/7. Modelling for Machine Learning/6. Support Vector Machine Algorithm.mp4 23.8 MB
  • ~Get Your Files Here !/6. Preparation for Modelling in Machine Learning/9. Applying One Hot Encoding Method to Categorical Variables.mp4 23.5 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 23.4 MB
  • ~Get Your Files Here !/6. Preparation for Modelling in Machine Learning/8. Transformation Operations on Unsymmetrical Data.mp4 23.3 MB
  • ~Get Your Files Here !/4. Exploratory Data Analysis (EDA) - Uni-variate Analysis/2. Numeric Variables (Analysis with Distplot) Lesson 2.mp4 19.2 MB
  • ~Get Your Files Here !/3. Preparation For Exploratory Data Analysis (EDA) in Data Science/3. Separating variables (Numeric or Categorical).mp4 15.5 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 11.1 MB
  • ~Get Your Files Here !/2. First Organization/2. Loading the Statistics Dataset in Data Science.mp4 9.8 MB
  • ~Get Your Files Here !/3. Preparation For Exploratory Data Analysis (EDA) in Data Science/4. Examining Statistics of Variables.srt 25.2 kB
  • ~Get Your Files Here !/1. Introduction to Machine Learning with Real Hearth Attack Prediction Project/6. Recognizing Variables In Dataset.srt 24.4 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 21.9 kB
  • ~Get Your Files Here !/4. Exploratory Data Analysis (EDA) - Uni-variate Analysis/4. Categoric Variables (Analysis with Pie Chart) Lesson 2.srt 21.4 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 20.8 kB
  • ~Get Your Files Here !/4. Exploratory Data Analysis (EDA) - Uni-variate Analysis/1. Numeric Variables (Analysis with Distplot) Lesson 1.srt 20.7 kB
  • ~Get Your Files Here !/4. Exploratory Data Analysis (EDA) - Uni-variate Analysis/3. Categoric Variables (Analysis with Pie Chart) Lesson 1.srt 20.2 kB
  • ~Get Your Files Here !/2. First Organization/3. Initial analysis on the dataset.srt 18.6 kB
  • ~Get Your Files Here !/7. Modelling for Machine Learning/4. Hyperparameter Optimization (with GridSearchCV).srt 17.8 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 17.1 kB
  • ~Get Your Files Here !/5. Exploratory Data Analysis (EDA) - Bi-variate Analysis/14. Relationships between variables (Analysis with Heatmap) Lesson 2.srt 16.4 kB
  • ~Get Your Files Here !/5. Exploratory Data Analysis (EDA) - Bi-variate Analysis/10. Numerical - Categorical Variables (Analysis with Swarm Plot) Lesson 2.srt 15.8 kB
  • ~Get Your Files Here !/1. Introduction to Machine Learning with Real Hearth Attack Prediction Project/2. FAQ about Machine Learning, Data Science.html 15.7 kB
  • ~Get Your Files Here !/6. Preparation for Modelling in Machine Learning/4. Dealing with Outliers – Trtbps Variable Lesson 2.srt 15.6 kB
  • ~Get Your Files Here !/5. Exploratory Data Analysis (EDA) - Bi-variate Analysis/8. Creating a New DataFrame with the Melt() Function.srt 15.5 kB
  • ~Get Your Files Here !/7. Modelling for Machine Learning/8. Hyperparameter Optimization (with GridSearchCV).srt 14.8 kB
  • ~Get Your Files Here !/1. Introduction to Machine Learning with Real Hearth Attack Prediction Project/5. Examining the Project Topic.srt 14.3 kB
  • ~Get Your Files Here !/4. Exploratory Data Analysis (EDA) - Uni-variate Analysis/5. Examining the Missing Data According to the Analysis Result.srt 14.2 kB
  • ~Get Your Files Here !/6. Preparation for Modelling in Machine Learning/3. Dealing with Outliers – Trtbps Variable Lesson 1.srt 14.0 kB
  • ~Get Your Files Here !/3. Preparation For Exploratory Data Analysis (EDA) in Data Science/1. Examining Missing Values.srt 13.5 kB
  • ~Get Your Files Here !/3. Preparation For Exploratory Data Analysis (EDA) in Data Science/2. Examining Unique Values.srt 13.2 kB
  • ~Get Your Files Here !/2. First Organization/1. Required Python Libraries.srt 13.2 kB
  • ~Get Your Files Here !/6. Preparation for Modelling in Machine Learning/2. Visualizing Outliers.srt 12.1 kB
  • ~Get Your Files Here !/5. Exploratory Data Analysis (EDA) - Bi-variate Analysis/7. Feature Scaling with the Robust Scaler Method.srt 11.9 kB
  • ~Get Your Files Here !/5. Exploratory Data Analysis (EDA) - Bi-variate Analysis/1. Numeric Variables – Target Variable (Analysis with FacetGrid) Lesson 1.srt 11.6 kB
  • ~Get Your Files Here !/6. Preparation for Modelling in Machine Learning/5. Dealing with Outliers – Thalach Variable.srt 11.4 kB
  • ~Get Your Files Here !/6. Preparation for Modelling in Machine Learning/6. Dealing with Outliers – Oldpeak Variable.srt 11.2 kB
  • ~Get Your Files Here !/5. Exploratory Data Analysis (EDA) - Bi-variate Analysis/12. Numerical - Categorical Variables (Analysis with Box Plot) Lesson 2.srt 10.6 kB
  • ~Get Your Files Here !/7. Modelling for Machine Learning/3. Roc Curve and Area Under Curve (AUC).srt 10.4 kB
  • ~Get Your Files Here !/5. Exploratory Data Analysis (EDA) - Bi-variate Analysis/11. Numerical - Categorical Variables (Analysis with Box Plot) Lesson 1.srt 10.4 kB
  • ~Get Your Files Here !/5. Exploratory Data Analysis (EDA) - Bi-variate Analysis/2. Numeric Variables – Target Variable (Analysis with FacetGrid) Lesson 2.srt 9.9 kB
  • ~Get Your Files Here !/6. Preparation for Modelling in Machine Learning/11. Separating Data into Test and Training Set.srt 9.7 kB
  • ~Get Your Files Here !/7. Modelling for Machine Learning/1. Logistic Regression.srt 9.3 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 9.1 kB
  • ~Get Your Files Here !/5. Exploratory Data Analysis (EDA) - Bi-variate Analysis/13. Relationships between variables (Analysis with Heatmap) Lesson 1.srt 8.9 kB
  • ~Get Your Files Here !/7. Modelling for Machine Learning/7. Random Forest Algorithm.srt 8.6 kB
  • ~Get Your Files Here !/5. Exploratory Data Analysis (EDA) - Bi-variate Analysis/9. Numerical - Categorical Variables (Analysis with Swarm Plot) Lesson 1.srt 8.5 kB
  • ~Get Your Files Here !/6. Preparation for Modelling in Machine Learning/9. Applying One Hot Encoding Method to Categorical Variables.srt 7.8 kB
  • ~Get Your Files Here !/7. Modelling for Machine Learning/2. Cross Validation.srt 7.8 kB
  • ~Get Your Files Here !/7. Modelling for Machine Learning/5. Decision Tree Algorithm.srt 7.6 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 7.3 kB
  • ~Get Your Files Here !/7. Modelling for Machine Learning/6. Support Vector Machine Algorithm.srt 6.8 kB
  • ~Get Your Files Here !/6. Preparation for Modelling in Machine Learning/7. Determining Distributions of Numeric Variables.srt 6.7 kB
  • ~Get Your Files Here !/6. Preparation for Modelling in Machine Learning/8. Transformation Operations on Unsymmetrical Data.srt 6.5 kB
  • ~Get Your Files Here !/4. Exploratory Data Analysis (EDA) - Uni-variate Analysis/2. Numeric Variables (Analysis with Distplot) Lesson 2.srt 5.4 kB
  • ~Get Your Files Here !/6. Preparation for Modelling in Machine Learning/1. Dropping Columns with Low Correlation.srt 5.3 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 5.1 kB
  • ~Get Your Files Here !/8. Conclusion/1. Project Conclusion and Sharing.srt 5.0 kB
  • ~Get Your Files Here !/3. Preparation For Exploratory Data Analysis (EDA) in Data Science/3. Separating variables (Numeric or Categorical).srt 4.7 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 3.2 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

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