created by Umanga Bista, Kathmandu, Nepal Institute of Engineering, Dept. of Electronics and Computer Engineering currently BE Computer Engineering, final semester bistaumanga@gmail.com
MAchine Learning Algorithms implemented in Python with numpy for vectorization
Supervised learning Algorithms :
- Linear Regression
- Logistic Regression
- Back propagation
All algorithms currently use Gradient Descent as optimization routine. All algorithms are regularized to avoid overfitting.
Unsupervised learning: 4. Dynamic Time Warping 5. KMeans Clustering 6. Gaussian Mixture Model with Expectation Maximization algorithm