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### Course Curriculum

 Linear Regression Correlation vs Regression 00:00:00 First Regression in Python 00:00:00 Geometrical Representation of the Linear Regression Model 3 00:00:00 How to Interpret the Regression Table 00:00:00 Introduction to Regression Analysis 00:00:00 Python Packages Installation 00:00:00 R-Squared 00:00:00 Using Seaborn for Graphs 00:00:00 Welcome to Advanced Statistics! 00:00:00 What is the OLS 00:00:00 Multiple LIinear Regression A1 Linearity 00:00:00 A2 No Endogeneity 00:00:00 A3 Normality and Homoscedasticity 00:00:00 A4 No Autocorrelation 00:00:00 A5 No Multicollinearity 00:00:00 Adjusted R-Squared 00:00:00 Dealing with Categorical Data – Dummy Variables 00:00:00 Making Predictions with the Linear Regression 00:00:00 Multiple Linear Regression with sklearn 00:00:00 OLS Assumptions 00:00:00 Test for Significance of the Model (F-Test) 00:00:00 Linear Regression with Sklearn Creating a Summary Table with the p-values 00:00:00 Feature Scaling 00:00:00 Feature Selection through p-values (F-regression) 00:00:00 Game Plan for sklearn 00:00:00 Multiple Linear Regression with sklearn 00:00:00 Simple Linear Regression with sklearn – Summary Table 365 D 00:00:00 Simple Linear Regression with sklearn 00:00:00 Training and Testing 00:00:00 Underfitting and Overfitting 00:00:00 What is sklearn 00:00:00 Linear Regression - Practical Example Practical Example (Part 1) 00:00:00 Practical Example (Part 2) 00:00:00 Practical Example (Part 3) 00:00:00 Practical Example (Part 4) 00:00:00 Practical Example (Part 5) 00:00:00 Logistic Regression Tommorow A Simple Example in Python 00:00:00 An Invaluable Coding Tip 00:00:00 Binary Predictors in a Logistic Regression 00:00:00 Building a Logistic Regression 00:00:00 Calculating the Accuracy of the Model 00:00:00 Introduction to Logistic Regression 00:00:00 Logistic vs Logit Function 00:00:00 Testing the Model 00:00:00 Underfitting and Overfitting 00:00:00 Understanding Logistic Regression Tables 00:00:00 What do the Odds Actually Mean 00:00:00 Cluster Analysis (Basics & Prerequisites) Difference between Classification and Clustering 00:00:00 Introduction to Cluster Analysis 00:00:00 Math Prerequisites 00:00:00 Some Examples of Clusters 00:00:00

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