Introduction to Data Science with Python

This repository is maintained by Ben Winjum and Yoh Kawano for use in UCLA IDRE's introductory class "Introduction to Data Science with Python".

Interacting with the materials

UCLA participants (multi-factor authentication required):
- Launch into JupyterHub (choose UCLA)
Non UCLA participants:

A recording of the workshop given on August 18 and 19, 2020, is available on YouTube:
- Part 1: https://youtu.be/KO8kikS6iAY
- Part 2: https://youtu.be/l4O93YNnLjk
Please note that the notebooks in this repository are only the completed versions of notebooks discussed on the video.

Name		Name	Last commit message	Last commit date
Latest commit History 12 Commits
data-sci-images		data-sci-images
data		data
images		images
01-getting-data-and-pandas.ipynb		01-getting-data-and-pandas.ipynb
02-adventures-in-getting-data.ipynb		02-adventures-in-getting-data.ipynb
03-viz.ipynb		03-viz.ipynb
04-socrata-map-arrests.ipynb		04-socrata-map-arrests.ipynb
05-linear-regression.ipynb		05-linear-regression.ipynb
06-kmeans.ipynb		06-kmeans.ipynb
07-logistic-regression.ipynb		07-logistic-regression.ipynb
08-tensorflow.ipynb		08-tensorflow.ipynb
09-pytorch.ipynb		09-pytorch.ipynb
README.md		README.md
extra-1-stocks.ipynb		extra-1-stocks.ipynb
extra-2-classics.ipynb		extra-2-classics.ipynb
requirements.txt		requirements.txt