README.md

Analytics Vidhya Jantahack Customer Segmentation

Public Leaderboard Rank: 86

Private Leaderboard Rank: 89

Problem Statement

Data Description at a Glance:

Data after Merging and Feature Engineering:

Description of Approach/Feature Engineering:

1. Merged train dataset and test dataset to form a merged dataset
2. Label Encoded the categorical columns
3. Added dummy columns
4. Split the merged dataset to train and test dataset
5. Applied LGBMClassifier with the previously tested parameters and fitted it
6. Created the final.csv with the prediction of the LGBMClassifier model

Tools used

1. Python
2. pandas and numpy libraries for data manipulation
3. LGBMClassifier for prediction

Score

The score obtained using this solution is 0.9352380952

Competition Result

Rank: 86th on public LB and 89th on private LB