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@abhishek-shrm
Created August 3, 2020 16:27
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# Labelling Top 10 as 1 and last 10 as 0
rel=list(range(1,11))
nonrel=list(range(91,101))
training_ranked100['rel']=training_ranked100['rank'].apply(lambda x: 1 if x in rel else ( 0 if x in nonrel else np.nan))
testing_ranked100['rel']=testing_ranked100['rank'].apply(lambda x: 1 if x in rel else ( 0 if x in nonrel else np.nan))
# Result set for Training
training_result=training_ranked100.dropna()
training_result['rel']=training_result['rel'].astype(int)
print('Shape=>',training_result.shape)
training_result.head()
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