https://github.com/faisalahmedbijoy/predicting-telco-customer-churn
Predicting Customer Churn Using an Open-Source Telecom Dataset
https://github.com/faisalahmedbijoy/predicting-telco-customer-churn
Last synced: about 1 month ago
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Predicting Customer Churn Using an Open-Source Telecom Dataset
- Host: GitHub
- URL: https://github.com/faisalahmedbijoy/predicting-telco-customer-churn
- Owner: FaisalAhmedBijoy
- Created: 2023-11-10T16:07:31.000Z (almost 2 years ago)
- Default Branch: master
- Last Pushed: 2023-12-01T16:01:05.000Z (almost 2 years ago)
- Last Synced: 2025-04-11T10:44:54.559Z (6 months ago)
- Language: Jupyter Notebook
- Size: 12.5 MB
- Stars: 4
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
Customer Churn Prediction in Telco company
## Project Structure
==============================
- Data processing
- Explaratory Data Analysis (EDA)
- Model training
- Logistic Regression
- Decision Tree
- Random Forest Classifier
- XGbost classifier
- Model evaluation===============================
## PDF and Notebook
- [Details PDF](Telco_customer_churn_prediction_using_ML.pdf)- [Jupyter Notebook](Telco_customer_churn_prediction_using_ML.ipynb)