This repository contains notebooks to study and prepare various concepts of Machine Learning from basics to advanced.
Machine Learning Notebooks:
1. Data Preprocessing
2. Simple Linear Regression
3. Multiple Linear Regression
4. Polynomial Regression
5. Support Vector Machine(SVM) Regression
6. Decision Trees Regression
7. Random Forest Regression
8. Logistic Regression Classification
9. K-NearestNeighbor(K-NN) Classification
10. Support Vector Machine(SVM) Classification
11. Kernel SVM Classification
12. Naive Bayes Classification
13. Decision Tree Classification
14. Random Forest Classification
15. Metrics for evaluation in Machine Learning
16. K-fold Cross Validation
17. GridSearchCV