DASC521-IntroToMachineLearning

Materials for DASC521/ENGR421: Introduction to Machine Learning course

Homeworks

1. Homework 01: Multivariate Parametric Classification

• Description
• Code:
  • hw01.py
  • hw01.ipynb
• Report

2. Homework 02: Naïve Bayes' Classifier

• Description
• Code:
  • hw02.py
  • hw02.ipynb
• Report

3. Homework 03: Discrimination by Regression

• Description
• Code:
  • hw03.py
  • hw03.ipynb
• Report

4. Homework 04: Nonparametric Regression

• Description
• Code:
  • hw04.py
  • hw04.ipynb
• Report
• Data Set
• Cheat Sheet

5. Homework 05: Decision Tree Regression

• Description
• Data Set

6. Homework 06: One-Versus-All Support Vector Classification

• Description
• Code:
  • hw06.py
  • hw06.ipynb
• Report
• Data Set:
  • hw06_images.csv
  • hw06_labels.csv

7. Homework 07: Expectation-Maximization Clustering

• Description
• Code:
  • hw07.py
  • hw07.ipynb
• Report
• Data Set:
  • hw07_data_set.csv
  • hw07_initial_centroids.csv

8. Homework 08: Spectral Clustering

• Description
• Code:
  • hw08.py
  • hw08.ipynb
• Report
• Data Set