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Useful Things I learnt

1. inplace = True/False in df.drop

  • df.drop([column_name], axis=1, inplace=False) -> default

    • returns the df hence, should be df = df.drop([column_name], axis=1, inplace=False)

    Else, if inplace=True, it is renamed in its place df.drop([column_name], axis=1, inplace=False) should update the df!

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This repository contains different algorithms implemented for the purpose of understanding as well as implementation in some projects in some level.

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