SupervisedML

Introduction

This repo is all about supervised machine learning algorithms (regression and classification) implementation with different type of datasets in sklearn.

Algorithms

1. Single variable Linear regression Algorithm
2. Multi-variable Linear regression Algorithm
3. Polynomial regression Algorithm
4. Logistic Regression Algorithm
5. Knn Algorithm
6. SVM Algorithm
7. Decision Trees Algorithm
8. Bagging Algorithm
9. Adaboost Algorithm
10. Random Forests Algorithm
11. MLP Algorithm
12. Naive Bayes Algorithm
13. XGboost Algorithm
14. Lgboost Algorithm
15. Ridge Algorithm
16. Lasso Algorithm
17. Elastic Net Algorithm