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