01 - Creating the linear regression model and model summary Part 1
02 - Creating the linear regression model and model summary Part 2
03 - Creating the linear regression model and model summary Part 3
04 - Dropping insignificant variables and re-creating the model
05 - Checking assumptions for linear regression
06 - Assumption 1 Checking for mean residuals
07 - Assumption 2 Checking homoscedasticity
08 - Assumption 3 Checking linearity
09 - Assumption 4 Checking normality of error terms
10 - Q-Q plot for checking the normality of error terms
11 - Model performance comparison on train and test data
12 - Applying cross-validation and evaluation
13 - Challenge Model building
14 - Solution Model building
