TS_challenge

In this project, a two-year transaction history data from merchant was given to achieve two goals. The first is merchant segmentation and the second is customer churn prediction.

Feature Engineering

TSFresh
Experience

Clustering

visualization
Hyper-parameter tuning
Center explain

Churn Definition and Identify

Empirical and Theoretical

Supervised Learning to Predict Churn

Model selection
HP tuning
Reasoning for churn
Approach to handle the churn

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Lesson learnt: read the question carefully. if they want to present to business, then no need for technical details.