This repository also has codes for:
1. Handling Missing Data
2. Usage of Numpy & Pandas
- Linear Regression
- Multiple Regression
- Logistic Regression
- Support Vector Machines
- K Nearest Neighbors
- K Means Clustering
- Decision Trees
- Random Forest
- Artificial Neural Networks - MultiLayer Perceptron
- Principle Component Analysis
- Adaboost