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Welcome to the website for Sta-395, Introduction to Machine Learning! To begin, you can find the course syllabus linked below:

You can locate course content by scrolling, or by using the navigation bar in the upper-left.

Course Materials

Most class meetings involve both lecture and lab components. Topics are organized into units, which can be found below. The assignments and due-dates for a given week can be found below that week’s course materials. Unless otherwise indicated, all assignments are to be submitted via Canvas by 11:59pm.

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Unit #1 - Concepts, Workflow, and Methods for Tabular Data

Week 0/1 - Introduction to Python and sklearn

Date Lecture Lab Resources
Th 8/28 Introduction Lab 1 - Crash Course in Python
T 9/2 KNN and Decision Trees Finish Lab 1
Th 9/4 Data Pre-processing Lab 2 - Introduction to sklearn
  • Lab 1 is due Monday 9/8 at 11:59pm on Canvas
  • Lab 2 is due Wednesday 9/10 at 11:59pm on Canvas

Week 2

Coming soon…

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Final Project

Coming soon…