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Product Analysis — Telepass insurance purchase prediction

Course-style assignment: binary classification of whether a customer purchases insurance after a quote (issued in the HBS Telepass case data). Three models are compared: logistic regression, decision tree, and random forest, with grouped cross-validation by client_id.

Requirements

  • Python 3.10+ (3.11+ recommended)
  • Telepass.xlsx in this folder (case supplementary data; not committed to public repos if your school restricts it)

Setup

cd "Product analysis"   # or the full path to this project
python3 -m venv .venv
source .venv/bin/activate   # Windows: .venv\Scripts\activate
pip install -r requirements.txt
python telepass_insurance_models.py

Author
Rea Silaj - Product Analysis 2026

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Product Analysis project for Telepass

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