Baselight

Customer Segmentation

AV - Janatahack : Customer Segmentation

@kaggle.vetrirah_customer

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About this Dataset

Customer Segmentation

Context

An automobile company has plans to enter new markets with their existing products (P1, P2, P3, P4 and P5). After intensive market research, they’ve deduced that the behavior of new market is similar to their existing market.

Content

In their existing market, the sales team has classified all customers into 4 segments (A, B, C, D ). Then, they performed segmented outreach and communication for different segment of customers. This strategy has work exceptionally well for them. They plan to use the same strategy on new markets and have identified 2627 new potential customers.

You are required to help the manager to predict the right group of the new customers.

Acknowledgements

https://datahack.analyticsvidhya.com/contest/janatahack-customer-segmentation/#ProblemStatement

Inspiration

https://datahack.analyticsvidhya.com/contest/janatahack-customer-segmentation/#ProblemStatement

Tables

Sample Submission

@kaggle.vetrirah_customer.sample_submission
  • 16.23 KB
  • 2627 rows
  • 2 columns
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CREATE TABLE sample_submission (
  "id" BIGINT,
  "segmentation" VARCHAR
);

Test

@kaggle.vetrirah_customer.test
  • 31.46 KB
  • 2627 rows
  • 10 columns
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CREATE TABLE test (
  "id" BIGINT,
  "gender" VARCHAR,
  "ever_married" VARCHAR,
  "age" BIGINT,
  "graduated" VARCHAR,
  "profession" VARCHAR,
  "work_experience" DOUBLE,
  "spending_score" VARCHAR,
  "family_size" DOUBLE,
  "var_1" VARCHAR
);

Train

@kaggle.vetrirah_customer.train
  • 84.66 KB
  • 8068 rows
  • 11 columns
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CREATE TABLE train (
  "id" BIGINT,
  "gender" VARCHAR,
  "ever_married" VARCHAR,
  "age" BIGINT,
  "graduated" VARCHAR,
  "profession" VARCHAR,
  "work_experience" DOUBLE,
  "spending_score" VARCHAR,
  "family_size" DOUBLE,
  "var_1" VARCHAR,
  "segmentation" VARCHAR
);

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