In this repo I am rebuilding famous machine learning algorithms from scratch in order to have more consise understanding of how the algorithm works, learns and optimizes
Following are the algorithms:
- Logistic Regression
- Linear Regression Including MultiLinear support
- Decision Tree
- KMeans
- Naive Bayes text classification
- Stochastic Gradient Descent
- Neural Networks (ANN)
- Q-learning Reinforecement Learning
Once I am done with all algortihms, I will use these algorithms to solve real world problem and update it here, stay tuned guys.