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CatherineZ885 edited this page Apr 18, 2024 · 1 revision

Welcome to the ds_intro_2024 wiki!

No Date/2024 Topics Instructors
0 4/13 Week 0 Instruction Tara/Hunter/Roger/Emma
1 4/24 (Wed) Week 1 Python Basic Class 1 Environment and Setups Emma
2 4/28 (Sun) Week 1 Statistic Basics For ML Roger
3 5/1 (Wed) Week 2 Python Basic Class 2  Git & GitHub etc. Emma
4 5/5 (Sun) Week 2 Supervised learning: statistical models Roger
5 5/8 (Wed) Week 3 Supervised learning: tree-based Models Hunter
6 5/12 (Sun) Week 3 Python Basic Class 3 Emma/Roger
7 5/15 (Wed) Week 4 Unsupervised learning Methods Hunter
8 5/19 (Sun) Week 4 Python Basic Class 4 Emma/Roger
9 5/22 (Wed) Week 5 Feature Engineering and Model Interpretation Hunter
10 5/26 (Sun) Week 5 Python Basic Class 5 Emma/Roger
11 5/29 (Wed) Week 6 Time Series/Anomaly Detection Class 1 Hunter/Roger
12 6/2 (Sun) Week 6 Python Basic Class 6 Emma/Roger
13 6/5 (Wed) Week 7 Time Series/Anomaly Detection Class 2 Hunter/Roger
14 6/9 (Sun) Week 7 Python Basic Class 7 Emma/Roger
15 6/12 (Wed) Week 8 Time Series/Anomaly Detection Class 3 Hunter/Roger
16 6/16 (Sun) Week 8 Python Basic Class 8 Emma/Roger
17 6/19 (Wed) Week 9 Time Series/Anomaly Detection Class 4 Hunter/Emma
18 6/23 (Sun) Week 9 Python Basic Class 9 Emma/Roger
19 6/26 (Wed) Week 10 Time Series/Anomaly Detection Class 5 Hunter/Emma
20 6/30 (Sun) Week 10 Python Basic Class 10 Emma
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