AV_ClubMahindra/FeatureEngineering/ In [5]

[24893KuRohit]

Hi,

I am a learner and was going through your ClubMahindra Hackathon Feature Engineering file.
Could you please explain the benefits of the these steps or what you are trying to gain from this

member_id_info = pd.DataFrame()
member_id_info['memberid'] = train.memberid.unique()
member_id_info['tag'] = np.random.rand(member_id_info.shape[0])
member_id_info['val_tag'] = np.random.randint(1,6,member_id_info.shape[0])
member_id_info['tag'] = np.where(member_id_info.tag>0.2,"Train","Val")

Thanks in Advance