📚 The CoCalc Library - books, templates and other resources
License: OTHER
Name | Size | Last Modified |
|---|---|---|
| 01-introduction.ipynb | 243.2 KB | 11/2/2019, 3:13:25 PM |
| 02-supervised-learning.ipynb | 5.3 MB | 11/2/2019, 3:13:25 PM |
| 03-unsupervised-learning.ipynb | 11.4 MB | 11/2/2019, 3:13:25 PM |
| 04-representing-data-feature-engineering.ipynb | 1.2 MB | 11/2/2019, 3:13:25 PM |
| 05-model-evaluation-and-improvement.ipynb | 579.3 KB | 11/2/2019, 3:13:25 PM |
| 06-algorithm-chains-and-pipelines.ipynb | 150.5 KB | 11/2/2019, 3:13:25 PM |
| 07-working-with-text-data.ipynb | 504.2 KB | 11/2/2019, 3:13:25 PM |
| 08-conclusion.ipynb | 2.9 KB | 11/2/2019, 3:13:25 PM |
| README.md | 3.8 KB | 11/2/2019, 3:13:25 PM |
| cover.jpg | 76.7 KB | 11/2/2019, 3:13:25 PM |
| data/ | 3 items | 11/2/2019, 3:13:25 PM |
| environment.yml | 160 bytes | 11/2/2019, 3:13:25 PM |
| images/ | 12 items | 11/2/2019, 3:13:25 PM |
| mglearn/ | 29 items | 11/2/2019, 3:13:25 PM |
| preamble.py | 774 bytes | 11/2/2019, 3:13:25 PM |
