Udacity Machine-Learning Nanodegree Course.
Boston Housing
Introductory Course, with emphasis on observing the structure behind the data with algorithms such as KNN and GMM.
Student Intervention System
Unsupervised Learning to develop a student intervention system based on a collection of data samples associated with their success. Emphasis on prediction via clustering, highlighting the similarities in the data.
Creating Customer Segments
Continuation of Unsupervised Learning, with emphasis on statistics and data preprocessing with feature transformation to identify the relevant features for categorization.
Training a SmartCab
Reinforced Learning (Q-Learning) with basic Q-Table Implementation to train an autonomous cab undergoing simulated traffic.