A useful collection of commonly used machine learning models in Python and R
Importing the Dataset
Handling Missing Data
Encoding Categorical Data
Splitting the Dataset in to Training Set and Test Set
Feature Scaling
Data Preprocessing
Fitting Linear Regression into Training Set
Predicting the Test Reulsts
Visualising Training Set Results
Visualising Test Set Results