Week 1 - Sep 09, 2020 |
Lecture Material |
Resources |
Assignments/Readings |
Topics:
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* |
Install and test Python distribution (ideally you should install the
distributon from
Anaconda
which automaticaly installs all of the necessary libraries used in this
class). |
* |
Familiarize yourself with IPython, and particularly,
Jupyter Notebook. There is also a nice 30 min.
Jupyter Notebook Tutorial Video by Corey Schafer. |
* |
Go through the "Quick Tutorial" on
Numpy User Guide and try to follow the examples on your own
(using Jupyter Notebook as the shell). |
* |
Review Section 1 of
Python Scientific Lecture Notes. |
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Week 2 - Sep 16, 2020 |
Lecture Material |
Resources |
Assignments/Readings |
Topics:
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Week 3 - Sep 23, 2020 |
Lecture
Material |
Resources |
Assignments/Readings |
Topics:
Review Material:
* |
Classification & Prediction -
Review of Basic Concepts
Video
(43 mins)]
[Slides] |
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* |
Read Chapter 2 of Machine Learning in Action (MLA).
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Week 4 - Sep 30, 2020
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Lecture
Material |
Resources |
Assignments/Readings |
Topic: Supervised
Learning
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Week 5 - Oct 07, 2020
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Lecture Material |
Resources |
Assignments/Readings |
Topic: Supervised Learning
* |
Classification (continued) |
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Week 6 - Oct 14, 2020 |
Lecture Material |
Resources |
Assignments/Readings |
Topics: Supervised Learning
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Week 7 - Oct 21, 2020 |
Lecture Material |
Resources |
Assignments/Readings |
Topic: Unsupervised Learning
Video: Additional Notes on Assignment 3 (30 mins) -
PPT slides for the video
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Week 8 - Oct 28, 2020 |
Lecture Material |
Resources |
Assignments/Readings |
Topic: Unsupervised Learning
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Week 9 - Nov 04, 202 |
Lecture Material |
Resources |
Assignments/Readings |
Also:
- Using Machine Learning
Pipelines in Scikit-learn - More examples of Model
Optimization |
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Week10 - Nov 11, 2020 |
Lecture Material |
Resources |
Assignments/Readings |
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Final Projects Due on Friday,
Nov 20, 2020 |