This project applies a **Decision Tree Classifier** to predict whether a user will purchase a product based on social network ad data. The dataset contains user attributes such as **age** and **estimated salary**, and the binary target variable indicates whether the product was purchased (`1`) or not (`0`).
python machine-learning interactive numpy scikit-learn pandas seaborn classification matplotlib decisiontree mini-project02 dt-classification
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Updated
Aug 17, 2025 - Jupyter Notebook