Data Analysis performed on IPL Dataset with Data Profiling, Data Pre-Processing, Data Manipulation, and Data Visualization.
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Updated
Jun 24, 2019 - Jupyter Notebook
Data Analysis performed on IPL Dataset with Data Profiling, Data Pre-Processing, Data Manipulation, and Data Visualization.
Analysis of IPL matches from 2008 to 2018 is done using python packages like pandas, matplotlib and seaborn. This Exploratory Data Analysis will help us to find patterns in data, determining relationships in data. We will try to identify the team that has more chance to win the upcoming seasons.
CRISP-DM Project of Udacity Data Scientist Nanodegree
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