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A series of project-based crash courses for incoming data scientists of Triple C at UCSD.

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DSC Crash Course for Triple C Data Scientists


FORK TO YOUR OWN REPO! DO NOT CHANGE THIS REPO!


  • Overview: this is a repository for Python data analysis for data scientists of Triple C. It is for education purpose only. We hope our work can help you gain the skills you need for Triple C projects. If there is any questions, please email ucsdtriplec@gmail.com.
  • Folder overview:
    • requirements.txt: required python packages for the projects in this repo.
    • env: files for python virtual environment.
    • 1-titanic-eda-ml: introductary project for EDA & Machine Learning.

Get Started

1. Activate virtual environment for these projects.

env/bin/activate

2. Install requirements.

pip install -r requirements.txt


After finish the project

1. Remember to deactivate everytime you finish / stop development on this.

deactivate


Contribution

Authors: Joey Hou, Scott Huang, etc.

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A series of project-based crash courses for incoming data scientists of Triple C at UCSD.

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