Predict which user is going to buy a product displayed on a social network advertisement using different classifier.
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Feb 16, 2022 - Jupyter Notebook
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social-network-ads
Here are 6 public repositories matching this topic...
Implementation of Naive Bayse on Social Network Ads
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Jul 3, 2023 - Jupyter Notebook
KNN classifier using Social Network Ads dataset with decision boundary visualization and feature scaling.
python machine scikit-learn data-visualization classification data-analysis knn k-nearest-neighbours model-evaluation user-behaviour social-network-ads ad-click-prediction
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Sep 18, 2025 - Jupyter Notebook
"Logistic Regression model built on the Social Network Ads dataset to predict whether a user will purchase a product based on their Age and Estimated Salary. This project includes data visualization, model training, evaluation, and visualization of decision boundaries."
scikit-learn logistic-regression binary-classification social-network-ads purchase-prediction data-visualizationv
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Jul 2, 2025 - Jupyter Notebook
Decision Tree Classifier on Social Network Ads dataset with pruning for improved performance.
python machine-learning scikit-learn classification decision-trees decision-tree model-evaluation model-pruning user-behaviour social-network-ads
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Sep 18, 2025 - Jupyter Notebook
This project focuses on predicting whether a customer will purchase a product using a Logistic Regression model trained on the Social Network Ads dataset. The workflow includes data loading, cleaning checks, exploratory data analysis, preprocessing, model training, prediction, and evaluation using accuracy score and confusion matrix.
python machine-learning numpy scikit-learn jupyter-notebook pandas seaborn classification data-analysis logistic-regression matplotlib social-network-ads
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Apr 23, 2026 - Jupyter Notebook
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