Machine-Learning-Models

This project is reference for various Machine Learning models.

I wrote these codes for the assignments in the 'Machine Learning Foundations and Techniques' course from National Taiwan University on Coursera, which is extremely popular in Asia.

Here is the content of the models:

hw1: CyclePLA, RandomCyclePLA, PocketCyclePLA

hw2: PLA with noise

hw3: linear regression and logistic regression

hw4: regularized linear regression

hw5: realization of SVM by differents methods

hw6: SVR, KRR, linear aggregation and adaptive boosting techiniques

hw7: C&RT, Random Forest

hw8: CNN, k-means, k-NN

Attention: all the codes are written by Jupyter Notebook. 26/06/2019