📚 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 |