This repository contains assignments for Machine Learning 2017.
Assignments within this repository will address Data Science concepts, techniques, and tools such as:
- Interpretable Classification (and Regression) using Decision Trees
- Ensemble Methods
- Bayesian Methods for Supervised, Unsupervised, and Semi-Supervised Learning
- Support Vector Machines
- Clustering
- Bayesian Networks
- Gaussian Processes
- Anomaly and Pattern Detection
All work is done with Python language and packages.