Implementation of various Machine Learning Algorithms in Python
- Hinge Loss Classifier
- Logistic Regression (Log Loss)
- Perceptron Classifier
- Kernelized Logistic Regression (RBF)
- Squared Loss Regression
- Huber Loss Regression
- Absolute Loss Regression
- Non Linear Kernel Regression (Polynomial)
- Gaussian Regression (RBF Kernel)
- Radial Bias Function Kernel (RBF)
- Polynomial kernel
- Markov Sequence Generator
- Markov Stationary State
- KD Tress Nearest Neighbour Classifier