A structured directory for all the basics of ML, Pandas, numpy etc.
- Preparing dataset for ML
- Chennai House Price Prediction
- Big Mart Sale Prediction
- Titanic survival Prediction
- KNN Classification & Regression Implementation
- Linear Regression Implementation
- Logistic Regression Implementation
- Basics of Ensemble Models
- Random Forest
- K-means Clustering
- Final Project
Feel free to add more directories to this repo, If you find something is missing!!