Pydata Beginners' Bootcamp

Github Repo

Our Github repo includes this page, a README.md, all the notebooks, and more.

Notebooks

• Data Visualization Notebook (html, ipynb): the least challenging notebook if you don't know where to start from
• Geospatial Notebook (html, ipynb): Longitude/Latitude coordinates, nearest neighbors, and map visualizations
• Quantitative Finance Notebook (html, ipynb): an investigation into optimal sizing
• Natural Language Processing Notebook (html, ipynb): Twitter word count + clusters, sentiment analysis, and a Shakespeare generator

Html files include sample output; ipynb files are stripped of output.

For the ipynb files, right click and "save as"- if you click into the link and save the page, then you may get a html version of the .ipynb file, which jupyter won't recognize as a valid ipynb file.

Other files

• another quant finance example
• clean_london_stations_data.py
• process_twitter_stream.py
• save_twitter_stream.py
• most of the datasets

Miscellaneous

• Today's schedule
• PythonAnywhere account logins tracker
• Join this slack channel for Bootcamp specific announcements- includes lightning talk slides
• Click here to join the PyData London slack channel
• Confused about which ML algorithm to use? Here's a handy chart
• Free ML data sets
• If you have any suggestions, please visit our Github repo, read the guidelines, and submit a pull request!