shivam-5/machine-learning

machine-learning

1. Naive-bayes Custom implementation on cleaveland dataset and its comparison with scikit learn implementation

2. Random-forest Custom implmenetation using bootstrapping as well as feature bagging on Pacman moves dataset (UC Berkeley AI implementation of pacman). Used Gini impurity as split measure.

3. synthetic-regression-analysis Custom implemetation of stochasitc and batch gradient descent and its comparison with scikit implementation Used synthetic dataset