SCT_DS_TASK03(Data Science Intern)

Task03 : Build a decision tree classifier to predict whether a customer will purchase a product or service based on their demographic and behavioral data. Use a dataset such as the Bank Marketing dataset from the UCI Machine Learning Repository.

Decision Tree Classifier for Customer Purchase Prediction

This project focuses on building a decision tree classifier to predict whether a customer will purchase a product or service based on their demographic and behavioral data. The dataset used is the Bank Marketing dataset from the UCI Machine Learning Repository.

Features

• Data preprocessing and feature engineering.
• Decision tree classifier to predict customer purchase behavior.
• Evaluation of the model using metrics such as accuracy, precision, recall, and F1-score.
• Visualization of the decision tree.

Dataset

The dataset used in this project is the Bank Marketing dataset, which contains information on:

• Customer demographics (age, job, marital status, education, etc.)
• Behavioral data (contact type, previous campaign outcomes, etc.)
• Target variable: Whether the customer subscribed to a term deposit (Yes/No).