Machine Learning Foundations: Code Projects Repository for all my original code project submissions for UW CSE446: Machine Learning. Machine Learning Glossary (Google): https://developers.google.com/machine-learning/glossary These projects reflect my expertise within the following ML topics: Basics Basic Probability and Linear Algebra Maximum Likelihood Estimation Convexity Irreducible Error Bias-Variance Trade-off Regression Linear Regression + Basis Functions Gradient Descent and SGD Regularization Sparsity and Variable Selection Classification Classification Logistic Regression Kernels Neural Networks Neural Network Basics Backpropagation Convolutional Neural Networks Recurrent Neural Networks Long Short-Term Memory (LSTM) Attention Mechanism Unsupervised Learning K-means Gaussian Mixture Model (GMM) Principal Component Analysis (PCA) Singular Value Decomposition (SVD) Matrix Completion Auto-encoder