Machine-Learning Jupyter Notebooks This is a series of Jyputer Notebooks covering fundamentals of Machine Learing. 01. Linear Regression and Multi-linear Regression 02. Polynomial Regression 03. Logistic Regression 04. Kernel Regression 05. LASSO and Ridge Regularizations 06. Regression Use Case More machine learning codes will be uploaded periodically to this repo, inclues: Decision Trees Random Forest Neural Networks SVMs Bayesian K-Mean Clustering Recommendation Deep Learning Image Recognization Time Series More