Udacity Machine Learning Nanodegree

Course 1: Machine Learning Foundations

Class 10: Model Selection -> Grid Search
Class 15: Decision Trees -> Titanic Survival Model with Decision Trees
Class 16: Naives Bayes -> Spam Classifier
Class 22: Clustering -> Movie Ratings
Class 23: Hierarchical and Density-based Clustering -> Hierarchical Clustering
Class 23: Hierarchical and Density-based Clustering -> DBSCAN
Class 24: Gaussian Mixture Models and Cluster Validation -> KMeans vs GMM on a Generated Dataset
Class 27: PCA -> Faces recognition
Class 28: Random Projection and ICA -> Independent Component Analysis

Class 4: Deep Neural Networks -> Student Admissions in Keras
Class 4: Deep Neural Networks -> IMDB in Keras
Class 5: Convolutional Neural Networks -> Training an MLP on MNIST
Class 5: Convolutional Neural Networks -> Classify images from the CIFAR-10 database
Class 12: Dynamic Programming -> OpenAI Gym - FrozenLake
Class 13: Monte Carlo Methods -> OpenAI Gym - Blackjack
Class 14: Temporal-Difference Methods -> OpenAI Gym - CliffWalking
Class 15: Solve OpenAI Gym’s Taxi-v2 Task
Class 16: RL in Continuous Spaces -> Discretization
Class 16: RL in Continuous Spaces -> Tile Coding
Class 17: Deep Q-Learning -> OpenAI Gym - Cart-Pole