Learning and rediscovering ML from total scratch
Regression:
1. Linear Regression (one or multiple variable)
2. Polynoimial Regression
3. Ridge Regression
4. Lasso Regression
5. ElasticNet Regression
6. Polynomial Ridge Regression
7. K-Nearest Neighbors (KNN) [Regression]
TODO:
1. Support Vector Machines (regression)
2. Xg Boost (regression)
3. Decision Tree regression
Classification:
1. K-Nearest Neighbors (KNN)
2. Logistic Regression (can work for both binary and multi class)
3 Naive Bayes
TODO:
1. Support Vector Machines
2. Decison Trees
3. Random Forests
4. Ada Boost
5. Xg boost
Other Different algorithms such as Decision Trees, Naive Bias, and all other unsupervised along with deep learning algorithms will be comming soon, so stay tuned.