This project builds a Decision Tree classification model to predict whether a bank customer will purchase (subscribe to) a product or service based on their demographic and behavioral data.
The model helps financial institutions improve marketing strategies and customer targeting.
To predict the target variable y which indicates whether a customer will subscribe to a product:
- Yes → Customer will purchase
- No → Customer will not purchase
- Source: UCI Machine Learning Repository – Bank Marketing Dataset
- Total Records: 41,188
- Total Features: 21
- Target Variable:
y
- Demographic Data: age, job, marital status, education
- Financial Data: default, housing loan, personal loan
- Behavioral Data: contact type, campaign details, previous interactions
- Economic Indicators: employment variation rate, consumer price index, euribor rate
- Python
- Pandas
- Scikit-learn
- Jupyter Notebook
For any questions, suggestions, or collaboration, feel free to reach out:
Email: thoratom37@gmail.com
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