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programming-for-data-science's Introduction

Programming-Data-Science-Projects

Timeline

  • Introduction (09/6/22)

    • overview
    • problem statement
    • objectives
  • Dataset Description (09/6/22)

  • EDA (10/6/22)

  • Data pre-processing (11/6/22)

    • data cleaning
    • data integration
    • data reduction
  • Data Modelling (12/6/22)

    • -Train-test data preparation
    • Model building
      • logistic regression
      • random forest classifier
      • wanna add other ?
  • Evaluation models (12/6/22)

  • Result and discussion (13/6/22)

  • conclusion (13/6/22)

Deadline

  • code compile - 14/6/2022
  • slide prepare - 15/2022
  • scrip and simulate -16/2022
  • presentation - 17/6/2022

project published link

https://rpubs.com/kyle_chen/WQD7004_Analysis_of_World_Happiness

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