EECS349-Machine-Learning

Spring 2016
Course: Machine Learning, Northwestern University, Evanston, IL class website

Problem Set 1

requirements

Problem Set 2

In this assignment you will work in groups of 2 or 3 to implement a decision tree learning algorithm and apply it to a synthetic dataset. You will also implement a pruning strategy in your algorithm. You will be given labeled training data, from which you will generate a model. You will be given labeled validation data, for which you will report your model's accuracy. You will also be given unlabeled test data for which you will generate predictions.

Problem Set 3

neural network and Char-RNN in TensorFlow

Problem Set 4

final project

project website