DATA_SCIENCE_PROJECT
R
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Customer Churn Analysis
Customer Churn Analysis
Data analysis project identifying customers likely to cancel their subscription. Helps businesses retain users.
Key Features
- Exploratory Data Analysis (EDA): Visualizes churn factors.
- Predictive Modeling: Classifies users as Churn/No-Churn.
- Feature Importance: Identifies key drivers of churn (e.g., contract type, monthly charges).
- Dashboard: PowerBI/Tableau dashboard file included.
Technology Stack
- Language: Python / R
- Tools: Pandas, Seaborn, Scikit-learn
Installation
- Run the notebook to generate the model.
- View the generated insight reports.
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Project Description
Customer Churn Analysis
Data analysis project identifying customers likely to cancel their subscription. Helps businesses retain users.
Key Features
- Exploratory Data Analysis (EDA): Visualizes churn factors.
- Predictive Modeling: Classifies users as Churn/No-Churn.
- Feature Importance: Identifies key drivers of churn (e.g., contract type, monthly charges).
- Dashboard: PowerBI/Tableau dashboard file included.
Technology Stack
- Language: Python / R
- Tools: Pandas, Seaborn, Scikit-learn
Installation
- Run the notebook to generate the model.
- View the generated insight reports.
Technologies Used
R
Ggplot2
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