An exploration of an interesting dataset, which contains explicit records of hundreds of IPL matches.
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Loaded and checked the dataset for null values.
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Cleaned data in order for it to represent the current scenario
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Implemeted Feature Engineering to make most use of the data
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Made basic insights using plots.
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Developed a predictive model (r^2: 99.1%) to predict the scores for a given set of features.
Python Version: 3.7
Packages: numpy, pandas, matplotlib, seaborn, sklearn