#100DaysofMLCode Challenge
Table of Contents
1. Data Pre-processing
- Importing Libraries
- Importing Data sets
- Handling the missing data values
- Encoding categorical data
- Split Data into Train data and Test data
- Feature Scaling
2. Regression
- Simple Linear Regression
- Multi Linear Regression
- Polynomial Regression
- Support Vector Regression
- Decision Tree Regression
- Random Forest Regression
3. Classification
- Logistic Regression
Log of my Day-to-Day Activities
Track my daily activities here
How to Contribute
This is an open project and contribution in all forms are welcomed. Please follow these Contribution Guidelines
Code of Conduct
Adhere to the GitHub specified community code.
License
Check the official MIT License here.