Machine Learning & AI Introduction Steps in machine learning Libraries and tools for machine learning Environment setup (Jupyter) Linear regression Cross validation and bias Variance Logistic regression K - Nearest neighbors Decision trees and random forests Support vector machines K - means clustering Principal component analysis Recommender systems Natural language processing Neural nets and deep learning Tensorflow