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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.
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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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
|
Coming soon…
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Coming soon…