Course materials for General Assembly's Data Science course in San Francisco (4/28/15 - 7/9/15).
Instructor: Yuchen Zhao
Experts-in-Residence:
Alex Chao (Office Hours: 2-6 pm Sundays)
David Feldman (Office Hours: 4-6:30 pm Tuesdays,Thursdays)
| Week | Tuesday | Thursday |
|---|---|---|
| 1 | 4/28: Introduction to Data Exploration | 4/30: Introduction to Machine Learning |
| 2 | 5/05: Machine Learning in Python | 5/07: K-Nearest Neighbors Classification |
| 3 | 5/12: Naive Bayes Classification | 5/14: Regression and Regularization |
| 4 | 5/19: Logistic Regression | 5/21: K-Means Clustering Project Milestone: [Elevator Pitch] |
| 5 | 5/26: Decision Trees and Random Forests (1) | 5/28: Decision Trees and Random Forests (2) |
| 6 | 6/02: Ensemble Techniques | 6/04: Support Vector Machines |
| 7 | 6/09: Dimensionality Reduction | 6/11: ROC Curves, AUC, & Imbalanced Classes |
| 8 | 6/16: Recommendation Systems Project Milestone: [First Draft Due] |
6/18: Database Technologies |
| 9 | 6/23: Final Project Work Session & Peer Feedback Project Milestone: [Peer Feedback Due] |
6/25: Map-Reduce & Hadoop |
| 10 | 6/30: Distributed Data Processing (Spark) | 7/02: Network Analysis |
| 11 | 7/07: Project Presentations Day 1 Project Milestone: Presentation |
7/09: Project Presentations Day 2 Project Milestone: Presentation & Paper |