Implemented various basic classification and regression models from scratch.
- Logistic Regression
- Gradient Descent Approach
- Newton's Method of Optimization
- Naive Bayes for Univariate Gaussian
- Feature correlations and visualizations for Multivariate Gaussian
- Univariate Linear Regression
- Closed Form Solution
- Gradient Descent Approach
- Newton's Method of Optimization
- Multivariate Linear Regression
- Closed Form Solution
- Gradient Descent Approach
- Newton's Method of Optimization