README.md

ML-Study

Curriculum

1. linear regression
2. logistic regression
3. Naive Bayes Classifier
4. Apriori
5. K-Means Clustering
6. Hierarchical Clustering
7. DBSCAN
8. K-fold Cross-validation
9. K-nearest Neighbor
10. Decision Tree
11. Model Evaluation(recall, precision, etc..)
12. Linear Regression with Gradient Descent
13. Logistic Regression with Gradient Descent
14. PCA, TSNE
15. SVM
16. Regularizaiton
17. Bagging, Boosting
18. Overfitting, Underfitting control
19. Optimizer

Code is for 1, 2, 5, 9, 10, 12, 13, 19