AmExpert 2021 Challenge

AmExpert 2021 – Machine Learning Hackathon

@kaggle.saurabhbagchi_amexpert_2021_challenge

Table List

3 tables(847.04 KB)

Sample Submission Kf044ur

Test Vkm91ft

Train Go05w65

Train Go05w65

@kaggle.saurabhbagchi_amexpert_2021_challenge.train_go05w65

466.78 KB
37748 rows
9 columns

customer_id Customer ID	gender Gender	age Age	vintage Vintage	is_active Is Active	city_category City Category	customer_category Customer Category	product_holding_b1 Product Holding B1	product_holding_b2 Product Holding B2
CC264719	Male	41	14		C1	S3	['P16']	['P8']
CC209679	Female	47	14	1	C1	S2	['P13', 'P20']	['P3']
CC319633	Female	59	14		C2	S2	['P11']	['P00']
CC231413	Female	32	16		C1	S2	['P8', 'P13']	['P6']
CC259633	Male	30	15		C2	S3	['P16', 'P17', 'P21']	['P8', 'P12']
CC384429	Female	28	12		C1	S2	['P17']	['P16']
CC233048	Male	30	17		C1	S2	['P16', 'P17']	['P8']
CC370586	Male	44	16	1	C2	S2	['P16', 'P21']	['P1', 'P12']
CC358694	Male	47	44		C2	S3	['P13', 'P20']	['P12']
CC316464	Male	26	12		C2	S3	['P13', 'P21']	['P9']


CREATE TABLE train_go05w65 (
  "customer_id" VARCHAR,
  "gender" VARCHAR,
  "age" BIGINT,
  "vintage" BIGINT,
  "is_active" BIGINT,
  "city_category" VARCHAR,
  "customer_category" VARCHAR,
  "product_holding_b1" VARCHAR,
  "product_holding_b2" VARCHAR
);