This repo contains basic Machine Learning implementations in the follow languages:
- Matlab & Octave
- R
- Python
Most of the boilerplates for standard problems are covered: linear regression, logistic regression, Neural Networks, Support Vector Machines etc.
1. Linear regression
- Univariate and multivariate
- Gradient Descent
- Feature Scaling
2. Logistic regression
- Sigmoid function
- Logistic Regression Cost function
- Regularization
Most of the resource in Matlab were obtained from Coursera Stanford Machine Learning Course