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种子名称： [ FreeCourseWeb.com ] Udemy - Machine Learning Project - Heart Attack Prediction Analysis
文件类型： 视频
文件数目： 50个文件
文件大小： 2.14 GB
收录时间： 2024-1-16 03:13
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最近下载： 2024-11-21 01:43

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

~Get Your Files Here !/1. Introduction to Machine Learning with Real Hearth Attack Prediction Project/1. First Step to the Hearth Attack Prediction Project.mp4108.57MB

~Get Your Files Here !/1. Introduction to Machine Learning with Real Hearth Attack Prediction Project/3. Notebook Design to be Used in the Project.mp497.66MB

~Get Your Files Here !/1. Introduction to Machine Learning with Real Hearth Attack Prediction Project/5. Examining the Project Topic.mp471.67MB

~Get Your Files Here !/1. Introduction to Machine Learning with Real Hearth Attack Prediction Project/6. Recognizing Variables In Dataset.mp4115.34MB

~Get Your Files Here !/2. First Organization/1. Required Python Libraries.mp458.76MB

~Get Your Files Here !/2. First Organization/2. Loading the Statistics Dataset in Data Science.mp49.32MB

~Get Your Files Here !/2. First Organization/3. Initial analysis on the dataset.mp458.67MB

~Get Your Files Here !/3. Preparation For Exploratory Data Analysis (EDA) in Data Science/1. Examining Missing Values.mp442.38MB

~Get Your Files Here !/3. Preparation For Exploratory Data Analysis (EDA) in Data Science/2. Examining Unique Values.mp441.01MB

~Get Your Files Here !/3. Preparation For Exploratory Data Analysis (EDA) in Data Science/3. Separating variables (Numeric or Categorical).mp414.74MB

~Get Your Files Here !/3. Preparation For Exploratory Data Analysis (EDA) in Data Science/4. Examining Statistics of Variables.mp484.27MB

~Get Your Files Here !/4. Exploratory Data Analysis (EDA) - Uni-variate Analysis/1. Numeric Variables (Analysis with Distplot) Lesson 1.mp474.57MB

~Get Your Files Here !/4. Exploratory Data Analysis (EDA) - Uni-variate Analysis/2. Numeric Variables (Analysis with Distplot) Lesson 2.mp418.33MB

~Get Your Files Here !/4. Exploratory Data Analysis (EDA) - Uni-variate Analysis/3. Categoric Variables (Analysis with Pie Chart) Lesson 1.mp469.02MB

~Get Your Files Here !/4. Exploratory Data Analysis (EDA) - Uni-variate Analysis/4. Categoric Variables (Analysis with Pie Chart) Lesson 2.mp477.98MB

~Get Your Files Here !/4. Exploratory Data Analysis (EDA) - Uni-variate Analysis/5. Examining the Missing Data According to the Analysis Result.mp449.98MB

~Get Your Files Here !/5. Exploratory Data Analysis (EDA) - Bi-variate Analysis/1. Numeric Variables – Target Variable (Analysis with FacetGrid) Lesson 1.mp445.33MB

~Get Your Files Here !/5. Exploratory Data Analysis (EDA) - Bi-variate Analysis/10. Numerical - Categorical Variables (Analysis with Swarm Plot) Lesson 2.mp464MB

~Get Your Files Here !/5. Exploratory Data Analysis (EDA) - Bi-variate Analysis/11. Numerical - Categorical Variables (Analysis with Box Plot) Lesson 1.mp435.96MB

~Get Your Files Here !/5. Exploratory Data Analysis (EDA) - Bi-variate Analysis/12. Numerical - Categorical Variables (Analysis with Box Plot) Lesson 2.mp432.78MB

~Get Your Files Here !/5. Exploratory Data Analysis (EDA) - Bi-variate Analysis/13. Relationships between variables (Analysis with Heatmap) Lesson 1.mp433.73MB

~Get Your Files Here !/5. Exploratory Data Analysis (EDA) - Bi-variate Analysis/14. Relationships between variables (Analysis with Heatmap) Lesson 2.mp482.49MB

~Get Your Files Here !/5. Exploratory Data Analysis (EDA) - Bi-variate Analysis/2. Numeric Variables – Target Variable (Analysis with FacetGrid) Lesson 2.mp432.76MB

~Get Your Files Here !/5. Exploratory Data Analysis (EDA) - Bi-variate Analysis/3. Categoric Variables – Target Variable (Analysis with Count Plot) Lesson 1.mp422.32MB

~Get Your Files Here !/5. Exploratory Data Analysis (EDA) - Bi-variate Analysis/4. Categoric Variables – Target Variable (Analysis with Count Plot) Lesson 2.mp452.33MB

~Get Your Files Here !/5. Exploratory Data Analysis (EDA) - Bi-variate Analysis/5. Examining Numeric Variables Among Themselves (Analysis with Pair Plot) Lesson 1.mp426.56MB

~Get Your Files Here !/5. Exploratory Data Analysis (EDA) - Bi-variate Analysis/6. Examining Numeric Variables Among Themselves (Analysis with Pair Plot) Lesson 2.mp443.9MB

~Get Your Files Here !/5. Exploratory Data Analysis (EDA) - Bi-variate Analysis/7. Feature Scaling with the Robust Scaler Method.mp432.65MB

~Get Your Files Here !/5. Exploratory Data Analysis (EDA) - Bi-variate Analysis/8. Creating a New DataFrame with the Melt() Function.mp448.78MB

~Get Your Files Here !/5. Exploratory Data Analysis (EDA) - Bi-variate Analysis/9. Numerical - Categorical Variables (Analysis with Swarm Plot) Lesson 1.mp439.27MB

~Get Your Files Here !/6. Preparation for Modelling in Machine Learning/1. Dropping Columns with Low Correlation.mp424.77MB

~Get Your Files Here !/6. Preparation for Modelling in Machine Learning/10. Feature Scaling with the Robust Scaler Method for Machine Learning Algorithms.mp410.62MB

~Get Your Files Here !/6. Preparation for Modelling in Machine Learning/11. Separating Data into Test and Training Set.mp427.77MB

~Get Your Files Here !/6. Preparation for Modelling in Machine Learning/2. Visualizing Outliers.mp432.72MB

~Get Your Files Here !/6. Preparation for Modelling in Machine Learning/3. Dealing with Outliers – Trtbps Variable Lesson 1.mp439.97MB

~Get Your Files Here !/6. Preparation for Modelling in Machine Learning/4. Dealing with Outliers – Trtbps Variable Lesson 2.mp440.84MB

~Get Your Files Here !/6. Preparation for Modelling in Machine Learning/5. Dealing with Outliers – Thalach Variable.mp433.69MB

~Get Your Files Here !/6. Preparation for Modelling in Machine Learning/6. Dealing with Outliers – Oldpeak Variable.mp433.33MB

~Get Your Files Here !/6. Preparation for Modelling in Machine Learning/7. Determining Distributions of Numeric Variables.mp423.33MB

~Get Your Files Here !/6. Preparation for Modelling in Machine Learning/8. Transformation Operations on Unsymmetrical Data.mp422.18MB

~Get Your Files Here !/6. Preparation for Modelling in Machine Learning/9. Applying One Hot Encoding Method to Categorical Variables.mp422.41MB

~Get Your Files Here !/7. Modelling for Machine Learning/1. Logistic Regression.mp427.3MB

~Get Your Files Here !/7. Modelling for Machine Learning/2. Cross Validation.mp428.16MB

~Get Your Files Here !/7. Modelling for Machine Learning/3. Roc Curve and Area Under Curve (AUC).mp438.63MB

~Get Your Files Here !/7. Modelling for Machine Learning/4. Hyperparameter Optimization (with GridSearchCV).mp454.75MB

~Get Your Files Here !/7. Modelling for Machine Learning/5. Decision Tree Algorithm.mp424.03MB

~Get Your Files Here !/7. Modelling for Machine Learning/6. Support Vector Machine Algorithm.mp422.69MB

~Get Your Files Here !/7. Modelling for Machine Learning/7. Random Forest Algorithm.mp427.73MB

~Get Your Files Here !/7. Modelling for Machine Learning/8. Hyperparameter Optimization (with GridSearchCV).mp448.56MB

~Get Your Files Here !/8. Conclusion/1. Project Conclusion and Sharing.mp426.95MB