https://github.com/patilsukanya/telecom-customer-churn-rate-analysis-project

The technology used:
https://github.com/patilsukanya/telecom-customer-churn-rate-analysis-project

data-science deployment eda feature-engineering machine-learning model-building python visualization

Last synced: about 2 months ago
JSON representation

The technology used:

• Host: GitHub
• URL: https://github.com/patilsukanya/telecom-customer-churn-rate-analysis-project
• Owner: PatilSukanya
• Created: 2023-04-23T15:43:47.000Z (about 2 years ago)
• Default Branch: main
• Last Pushed: 2023-04-23T16:01:01.000Z (about 2 years ago)
• Last Synced: 2025-02-23T13:38:08.048Z (2 months ago)
• Topics: data-science, deployment, eda, feature-engineering, machine-learning, model-building, python, visualization
• Language: Jupyter Notebook
• Homepage:
• Size: 4.71 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Telecom-Customer-Churn-Rate-Analysis-Project

Developed an internship project with aim to reduce annual churn rate of customer in Telecom Company. Analysis of major reasons of churn & prediction whether customer will churn or not based on the features in dataset is done with the help of ML Modules and Python Libraries.