This repository houses materials consulted by the instructors
Week | Date | Topic | Resources | Instructors |
---|---|---|---|---|
1 | 4-Sep | Introduction to Data Science | Slide, Note | Tejumade Afonja |
2 | 11-Sep | Data Collection and Scraping | Slide, Note | Akintayo Jabar |
3 | 18-Sep | Relational Data | Slide, Note | Akintayo Jabar |
4 | 25-Sep | Visualization and Data Exploration | Slide, Note | Ahmed Olanrewaju |
5 | 2-Oct | Matrices, Vectors, and Linear Algebra | Slide, Note | Lawrence Francis |
6 | 9-Oct | Data Preprocessing | Slide, Videos | Esemeje Omole |
7 | 16-Oct | Introduction to Machine Learning | Slide, Note | Olumide Okubadejo |
8 | 23-Oct | Linear Models | Slide, Note, Playlist | Stanley Dukor |
9 | 30-Oct | **Break** |
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10 | 6-Nov | Model Evaluation | Slide, Playlist | Femi Ogunbode |
11 | 13-Nov | Nonlinear Models | Slide, Note | Kenechi Dukor |
12 | 20-Nov | Basic Probability | Slide, Note | Tejumade Afonja |
13 | 27-Nov | Probabilistic Models | Slide, Note, Playlist | George Igwegbe |
14 | 4-Dec | Tree Models | Slide, Playlist | Azeez Oluwafemi |
15 | 11-Dec | Unsupervised Learning | Slide, Note | Olumide Okubadejo |
16 | 8-Jan | Recommenders Systems | Slide, Note | Farouq Oyebiyi |
17 | 29-Jan | Project Presentation |