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Built a decision tree classifier to predict customer purchase behavior using demographic and behavioral data from the Bank Marketing dataset (UCI ML Repository).

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Prodigy InfoTech Internship: Decision Tree Classifier

Welcome to Task 3 of my internship at Prodigy InfoTech!
This task involved building a machine learning model to predict customer behavior based on demographic and behavioral data.


question


🌳 Task Summary

Developed a Decision Tree Classifier to predict whether a customer will purchase a product or service.
The model was trained on the Bank Marketing dataset from the UCI Machine Learning Repository.

Sample Dataset: Bank Marketing Dataset – UCI


🧠 Skills & Knowledge Gained

  • Learned how to preprocess and encode categorical data.
  • Built and evaluated a decision tree classifier using Scikit-learn.
  • Explored feature importance and model performance metrics such as accuracy, precision, and recall.

🤝 Let’s Connect

Feel free to explore the repository, give feedback, or reach out to discuss topics related to machine learning, data science, or internship experiences.


📬 Contact

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Built a decision tree classifier to predict customer purchase behavior using demographic and behavioral data from the Bank Marketing dataset (UCI ML Repository).

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