This dataset extends the classic Telco Customer Churn dataset by adding a column CustomerFeedback, generated using GPT-3.5 based on customer features like tenure, contract type, monthly charges, and churn status.

Each row now includes a realistic customer review, enabling:

• Sentiment analysis
• NLP model training (classification, clustering)
• End-to-end churn prediction pipelines (ML + NLP)

✅ Ideal for projects using: Python, Spark, Power BI, or LLMs.
📅 Created: June 2025
🔁 Feedbacks generated with OpenAI API (controlled prompt logic, temperature=0.7)

*cover image attribution:
Image by pikisuperstar on Freepik

Created by: Beata Faron
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Data Scientist working on demand forecasting, NLP, and business-oriented ML.