Modules
Week 01 – January 22
Topic: Introduction
Reading
Slides
Assignments
Week 02 – January 29
Topic: Python Review
Video Lesson
- Opening data files in VS Code Passcode:
Uu5.@XE*
Week 03 – Feb 05
Topic: Numpy & Pandas
Slides
Practice
Week 04 – February 12
Topic: Data Wrangling
Slides
Week 05 – February 19
Topic: Supervised Learning – Linear Regression vs. Logistic Regression (statsmodels)
Slides
Assignment
- Project 01 – due Friday, February 28, 11:59pm
Week 06 – February 26
Topic: Supervised Learning – Regression and Classification with sklearn
Slides
Assignment
- Project 02 – due Friday, March 7, 11:59pm
Week 07 – March 05
Topic: Supervised Learning – Suport Vector Machines, and multiclass classification
Slides
Week 08 – March 17
Topic: Unsupervised Learning – clustering (Kmeans)
Slides
Assignment
- Project 03 – due Monday, March 24, 11:59pm
Week 09 – March 24
Topic: Neural Networks
Slides
Assignment
- Project 04 – due Monday, April 4, 11:59pm
Week 10 – March 31
Topic: Neural Networks and NLP
Slides
Week 11 – April 07
Topic: Data Visualization and Recommender Systems
Slides
Week 12 – April 14
Topic: Reinforcement Learning
Slides
Final Project
Deadline for all deliverables: May 2, Friday, 11:59pm
You are to submit your link to your GitHub repository to Canvas.