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wrangling-cleaning

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This project, carried out in Jupyter Notebook, aims to explore the main Data Analysis techniques with Python tools. Pandas, Numpy, Seaborn, Matplotlib, Plotly and sklearn are used. Divided into three notebooks, I separate the data cleaning, data analysis and machine learning part. For more details and goals, see README

  • Updated Feb 28, 2022
  • Jupyter Notebook

Using ten NBA seasons of NBA data from 2010-2019 to practice web scrapping, data cleaning, and wrangling. The scrapped information includes teams, coaches, champions, and players. Some of this data is going to be used for a finals winner prediction project. This repository will therefore highlight how to clean data and make notes about why certa…

  • Updated Sep 21, 2020
  • Jupyter Notebook

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