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001 Data Preprocessing.en.srt
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001 Data Preprocessing.mp4
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001 Intro to Credit Risk.en.srt
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001 Intro to Credit Risk.mp4
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001 Introduction and data Preprocessing.en.srt
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001 Introduction and data Preprocessing.mp4
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001 Introduction to Jupyter Notebook.en.srt
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001 Introduction to Jupyter Notebook.mp4
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001 Introduction to Linear Regression.en.srt
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001 Introduction to Linear Regression.mp4
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001 Introduction to Logistic Regression.en.srt
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001 Introduction to Logistic Regression.mp4
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001 Introduction to Multiple Linear Regression.en.srt
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001 Introduction to Multiple Linear Regression.mp4
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001 Introduction to Predictive Modelling with Python.en.srt
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001 Introduction to Predictive Modelling with Python.mp4
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46 MB
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001 Introduction to Salary Dataset.en.srt
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001 Introduction to Salary Dataset.mp4
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002 Creating Dummies.en.srt
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002 Creating Dummies.mp4
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002 Dataframe.en.srt
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002 Dataframe.mp4
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002 Estimated Regression Model.en.srt
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002 Estimated Regression Model.mp4
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002 Fitting Linear Regression.en.srt
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002 Fitting Linear Regression.mp4
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002 Fitting Model with Sklearn Library.en.srt
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002 Fitting Model with Sklearn Library.mp4
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002 Installation.en.srt
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002 Installation.mp4
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002 Label Encoding.en.srt
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002 Label Encoding.mp4
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002 Understanding Dataset and Problem Statement.en.srt
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002 Understanding Dataset and Problem Statement.mp4
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002 Understanding Problem Statement and Splitting.mp4
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003 Fitting Linear Regression Continue.en.srt
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003 Fitting Linear Regression Continue.mp4
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003 Fitting Model with Statmodel Library.en.srt
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003 Fitting Model with Statmodel Library.mp4
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003 Gender Variable.en.srt
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003 Gender Variable.mp4
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003 Import the Library.en.srt
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003 Import the Library.mp4
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003 Imputer.en.srt
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003 Imputer.mp4
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003 Removing one Dummy and Splitting Dataset.en.srt
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003 Removing one Dummy and Splitting Dataset.mp4
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003 Scaling and Fitting Logistic Regression Model.en.srt
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003 Scaling and Fitting Logistic Regression Model.mp4
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003 Working with Correlation Plots.en.srt
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003 Working with Correlation Plots.mp4
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004 Create Dumies.en.srt
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004 Create Dumies.mp4
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004 Dependents and Education Variable.en.srt
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004 Dependents and Education Variable.mp4
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004 Plot.en.srt
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004 Plot.mp4
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004 Prediction and Introduction to Confusion Matrix.en.srt
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004 Prediction and Introduction to Confusion Matrix.mp4
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004 Prediction from the Model.en.srt
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004 Prediction from the Model.mp4
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004 Training Set and Predictions.en.srt
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004 Training Set and Predictions.mp4
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004 Using Statsmodel Package.en.srt
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004 Using Statsmodel Package.mp4
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004 Working with Correlation Plots Continue.en.srt
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004 Working with Correlation Plots Continue.mp4
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005 Backward Elimination Approach.en.srt
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005 Backward Elimination Approach.mp4
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005 Confusion Matrix Explanation.en.srt
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005 Confusion Matrix Explanation.mp4
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005 Correlation Plot and Splitting Dataset.en.srt
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005 Correlation Plot and Splitting Dataset.mp4
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005 Missing Values Treatment in Self Employed Variable.en.srt
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005 Missing Values Treatment in Self Employed Variable.mp4
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005 Prediction from the Model Continue.mp4
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005 Splitting Dataset.en.srt
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005 Splitting Dataset.mp4
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005 Stats Models to Make Optimal Model.en.srt
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005 Stats Models to Make Optimal Model.mp4
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005 Tip Example.en.srt
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005 Tip Example.mp4
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006 Backward Elimination Approach Continue.en.srt
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006 Backward Elimination Approach Continue.mp4
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006 Checking Model Performance using Confusion Matrix.en.srt
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006 Checking Model Performance using Confusion Matrix.mp4
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006 Features Scaling.en.srt
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006 Features Scaling.mp4
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006 MLR Model with Sklearn and Predictions.en.srt
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006 MLR Model with Sklearn and Predictions.mp4
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006 Outliers Treatment in Applicant Income Variable.en.srt
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006 Outliers Treatment in Applicant Income Variable.mp4
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006 Print Function.en.srt
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006 Print Function.mp4
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006 Steps to Make Optimal Model.en.srt
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006 Steps to Make Optimal Model.mp4
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007 MLR model with Statsmodels and Predictions.en.srt
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007 MLR model with Statsmodels and Predictions.mp4
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007 Making Optimal Model by Backward Elimination.en.srt
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007 Making Optimal Model by Backward Elimination.mp4
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007 Missing Values.en.srt
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007 Missing Values.mp4
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007 More on Backward Elimination Approach.en.srt
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007 More on Backward Elimination Approach.mp4
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007 Plots Understanding.en.srt
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007 Plots Understanding.mp4
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008 Adjusted R Square.en.srt
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008 Adjusted R Square.mp4
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008 Final Model.en.srt
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008 Final Model.mp4
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008 Getting Optimal model with Backward Elimination Approach.en.srt
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008 Getting Optimal model with Backward Elimination Approach.mp4
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008 Plots Understanding Continue.en.srt
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008 Plots Understanding Continue.mp4
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008 Property Area Variable.en.srt
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008 Property Area Variable.mp4
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009 Final Optimal Model Implementation.en.srt
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009 Final Optimal Model Implementation.mp4
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009 RMSE Calculation and Multicollinearity Theory.en.srt
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009 RMSE Calculation and Multicollinearity Theory.mp4
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009 ROC Curves.en.srt
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009 ROC Curves.mp4
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009 Splitting Data.en.srt
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009 Splitting Data.mp4
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010 Final Model and Area under ROC Curve.en.srt
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010 Final Model and Area under ROC Curve.mp4
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010 Threshold Changing.en.srt
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010 Threshold Changing.mp4
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010 VIF Calculation.en.srt
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010 VIF Calculation.mp4
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011 Final Predictions.en.srt
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011 Final Predictions.mp4
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011 VIF and Correlation Plots.en.srt
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011 VIF and Correlation Plots.mp4
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011 VIF and Correlation Plots.mp4.vtx
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462 KB
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Bonus Resources.txt
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TXT
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307.2 B
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Get Bonus Downloads Here.url
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URL
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204.8 B
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![[ FreeCourseWeb ] Udemy - Predictive Modeling with Python](/static/img/no-torrent-image.png "[ FreeCourseWeb ] Udemy - Predictive Modeling with Python")
