Davidcparrar / NBA

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Python application test with Github Actions

NBA pet project

The goal with this project is to apply the concepts of cloud computing to a simple Fantasy Draft predictor, i.e., given a list of available players what player should be drafted to "win" fantasy NBA.

ESPN Formula

New default system

  • Point = 1
  • 3PM = 1
  • FGA = -1
  • FGM = 2
  • FTA = -1
  • FTM = 1
  • REB = 1
  • AST = 2
  • STL = 4
  • BLK = 4
  • TOV = -2

Tasks

  • Design object model to store data
  • Build historical dataset
  • Create causality models
  • Build predictor
  • Deploy predictor

About

License:MIT License


Languages

Language:Makefile 61.3%Language:Python 38.7%