Course materials for General Assembly's Data Science course in San Francisco (4/28/15 - 7/9/15).
Instructor:
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: Data Format, Access & Transformation | 5/07: K-Nearest Neighbors Classification Final Project Kickoff |
| 3 | 5/12: Naive Bayes Classification HW1 Due |
5/14: Regression and Regularization |
| 4 | 5/19: Logistic Regression HW2 Due |
5/21: K-Means Clustering Project Milestone (PM1): Elevator Pitch |
| 5 | 5/26: Clustering & Decision Trees | 5/28: Tree-based Classifiers |
| 6 | 6/02: Ensemble Techniques Project Milestone (PM2): Data Ready |
6/04: Support Vector Machines |
| 7 | 6/09: Dimensionality Reduction HW3 Due |
6/11: Imbalanced Classes and Evaluation Metrics |
| 8 | 6/16: Recommendation Systems Project Milestone (PM3): First Draft Due |
6/18: Natural Language Processing |
| 9 | 6/23: Final Project Work Session & Peer Feedback Project Milestone (PM4): 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 (PM5): Presentation |
7/09: Project Presentations Day 2 Project Milestone (PM5): Presentation & Paper |
| HW | Topics | Dataset | Assigned | Due |
|---|---|---|---|---|
| 1 | Data Exploration | titanic | 5/05 | 5/12 |
| 2 | KNN & Cross Validation | iris | 5/07 | 5/19 |
| PM1 | Elevator Pitch | project | - | 5/21 |
| PM2 | Data Ready | project | - | 6/02 |
| 3 | Decision Trees | bank | 6/02 | 6/09 |
| PM3 | First Draft Due | project | - | 6/16 (Before Class) |