Assessfy Foundation Projects Lab Beginner 5 milestones 100 marks

Will They Leave? A Simple Customer Churn Predictor

Discipline: AI & Data Level: Foundation Industry: AI & Data Function: Business Analytics Team: up to 3 Assessment: 5 milestones (100 marks)

Real-world project · AICTE-aligned · AI-graded · Audit-ready certificate

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About this project

What you'll build: A classifier that predicts whether a telecom/subscription customer is likely to cancel, from a public churn dataset.

Why it's a good starter: Churn is one of the most common real business ML problems, and the dataset is small and beginner-friendly.

What you'll learn: Framing a business question as classification, dealing with imbalanced classes, and reading precision/recall — not just accuracy.

Milestones

1. Setup & Plan

10 marks 5d

Load the churn dataset and report the churn rate and 3 features you think matter; submit your notebook and hypothesis.

2. Prepare the data

30 marks 10d

Encode categorical fields, scale numeric ones, and split into train/test. Submit the prepared matrix and note the class imbalance.

3. Train & evaluate

30 marks 10d

Train a classifier and report accuracy, precision, recall and a confusion matrix. Done when you can explain why recall matters for churn.

4. Testing & Polish

15 marks 6d

Identify the top 5 customers most likely to churn and suggest one retention action per your findings.

5. Demo & Short Report

15 marks 5d

Demo the model and submit a 1-page report with your metrics and a business recommendation.

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Skills you'll learn

AI & DataPythonClassificationBusiness Analyticsscikit-learnPrecision & Recall

Tools used

Pythonpandasscikit-learnthe Telco churn CSV

Prerequisites

Basic Python

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Will They Leave? A Simple Customer Churn Predictor

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