Outliers, Outlier Detection, Sklearn Pipeline.
plt.figure(figsize=(10,5)) plt.subplot(1,2,1) sns.distplot(df['cgpa']) plt.subplot(1,2,2) sns.distplot(df['placement_exam_marks']) The distribution of the data shows that the feature cgpa is normally distributed, and the other feature, placemet_exam_marks is skewed. So, the feature cgpa qualifies