Data Preparation Codes

This repository is a collection of basic code templates for Data Preparation

All codes I am sharing are from the practical exercises I did from the Data Science Infinity Program

You are free to fork this repository

ML Data Preparation Templates:

1. Handling Missing Values with Pandas

2. Handling Missing Values with SimpleImputer

3. Handling Missing Values with KNNImputer

4. One Hot Encoding

5. Outliers

6. Feature Scaling

7. Feature Selection Correlation Matrix

8. Feature Selection Univariate Testing

9. Feature Selection RFECV

10. Model Validation