R_Projects

A collection of R projects on data science using machine learning and deep learning (codes only)

CONTENTS

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1. Simple Linear Regression
2. Multivariate Regression
3. Polynomial Regression
4. Support Vector Regression
5. Logistic Regression
6. Decision Tree Classifier
7. Random Forest Classifier
8. Support Vector Machine
9. Kernel SVM
10. Naive Bayes Classifier
11. K Nearest Neighbour
12. K Mean Clustering
13. Heirarchical Clustering
14. Upper Confidence Bound
15. Thomson Sampling
16. Apriori Method
17. Eclat Method
18. Principal Component Analysis
19. Linear Dicriminant Analysis
20. Kernel PCA
21. K Fold Cross Validation
22. Extreme Gradient Boosting
23. Natural Language Processing
24. Artificial Neural Networks