This notebook demonstrates a complete machine learning workflow using a Decision Tree Classifier to predict user purchase decisions based on social network advertisements. The project illustrates each stage of the pipeline: data import, preprocessing, exploratory data analysis, model training, evaluation, and practical interpretation of the results
scikit-learn exploratory-data-analysis machine-learning-algorithms jupyter-notebook data-visualization python3 seaborn data-analytics confusion-matrix data-preprocessing data-manipulation feature-engineering decision-tree-classifier feature-scaling model-training correlation-matrix
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Updated
Jun 1, 2025 - Jupyter Notebook