Implementation of basic Machine Learning algorithms from scratch(almost).
Motivation
- Create a resource for someone who wants to learn by implementing things.
- Impove my understanding by implementing algorithms from scratch.
Algorithms Implemented
- [X] Bag of Words
- [X] Naive Bayes with Laplace Smooting
- [X] K Nearest Neighbour (Standard and Weighted)
To be Implemented
- [ ] Linear Regression
- [ ] Logistic Regression
- [ ] Evaluation metrics
- [ ] K-fold cross validation