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python code please Data Cleaning Prior to assessing the data quality, let's first eliminate the columns that aren't necessary or are derived from the target
python code please
Data Cleaning Prior to assessing the data quality, let's first eliminate the columns that aren't necessary or are derived from the target column (wins ). This is where knowledge of the data you are working with starts to become very valuable. You should have noted that our dataframe (df_Teams) has no column names. Let's first define the column names. Some of the columns are not as useful as the others. So that we are going to delete them. Note: what we are doing right now is part of feature selection, we have multiple ways of feature selectionStep by Step Solution
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