Machine Learning Online Training
Data Preprocessing
- Overview of Data Preprocessing
- Get the dataset
- Importing the Libraries
- Importing the Dataset
- Missing Data
- Categorical Data
- Splitting the Dataset into the Training set and Test set
- Feature Scaling
- How to Set Up Working Directory
Regression
Simple Linear Regression
- How to get the dataset
- Dataset + Business Problem Description
- Simple Linear Regression Intuition
- Simple Linear Regression in Python
- Simple Linear Regression in R
Multiple Linear Regression
- How to get the dataset
- Dataset + Business Problem Description
- Multiple Linear Regression Intuition
- Multiple Linear Regression in Python
- Multiple Linear Regression in Python – Backward Elimination – Preparation
- Multiple Linear Regression in R
Polynomial Regression
- Polynomial Regression Intuition
- How to get the dataset
- Polynomial Regression in Python
- Python Regression Template
- Polynomial Regression in R
- R Regression Template
Support Vector Regression (SVR)
- How to get the dataset
- SVR in Python
- SVR in R
Decision Tree Regression
- Decision Tree Regression Intuition
- How to get the dataset
- Decision Tree Regression in Python
- Decision Tree Regression in R
Random Forest Regression
- Random Forest Regression Intuition
- How to get the dataset
- Random Forest Regression in Python
- Random Forest Regression in R
Evaluating Regression Models Performance
- R-Squared Intuition
- Adjusted R-Squared Intuition
- Interpreting Linear Regression Coefficients