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repo for max's 261 class

Jupyter Notebook 96.48% Python 1.89% Shell 0.10% Rich Text Format 0.10% Dockerfile 0.01% Scala 0.77% HTML 0.03% Ruby 0.01% CSS 0.04% JavaScript 0.03% Makefile 0.02% TeX 0.53%

w261_personal's Introduction

w261 Machine Learning at Scale

Welcome to w261 Summer 2022!

Important Actions:

  • Homework Assignment submissions should be made via the Canvas LMS located here:
  • The following us a recommended workflow for HW submissions:
    • Review the quiz form on Canvas
    • Then complete all homework responses in your Jupyter Notebook
    • Once completed, please upload your noteboook and fill in the reponses on Canvas
  • Cross-check: Did you join course Slack Channels:
    • Prefix: #datasci-261-2022-summer-

w261_personal's People

Contributors

blulightspecial avatar luisvillarreal avatar limaechoalpha avatar rochelleli avatar toby-p avatar github-w261-integrator avatar cadgi avatar fengyaoluo avatar penpen86 avatar

Watchers

Max Hoff avatar

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