Machine Learning Tutorial

Winter Term 2018

Lectures
  1. 900 miles of data
  2. Introduction to Classification
  3. Iris Classification Notebook
  4. LFW Notebook
  5. Preparing for the midterm
  6. Preparing for the final
Assignments
  1. First assignment
  2. Second assignment
  3. Final project
Resources

Syllabus

The syllabus for this course is here.

Anaconda and Jupyter

The primary tool we will be using in this course is the Jupyter Notebook system. This system is available as part of the Anaconda distribution. Details on how to obtain and install Anaconda are available here.

We will be working with the Pandas library extensively in this course. You may want to review my introduction to pandas lecture notes from last term.

Notebooks from the textbook

The author of our textbook as made available an extensive set of notebooks to complement the text. You can download those notebooks from the author's GitHub page.