In this project, we build a predictive model to determine whether a passenger would have survived the Titanic disaster.
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Mar 17, 2025 - Jupyter Notebook
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random-forest-model
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This multi-phase project identifies key satisfaction drivers and provides actionable insights to improve customer experience using statistical analysis and machine learning models, including logistic regression, decision trees, random forests, and XGBoost.
xgboost ensemble-learning logistic-regression predictive-analytics decision-tree-model customer-prediction airline-satisfaction satisfaction-analysis inflight-entertainment random-forest-model
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Mar 6, 2025 - Python
Email_Spam_Detection is a machine learning project that detects spam emails using a Random Forest model. Features a Flask backend (deployed via Render) and a simple HTML/CSS frontend. Easily deployable for both local and public use.
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Apr 18, 2025 - Python
A machine learning project aimed at predicting failures in an industrial milling machine using a random forest model.
machine-learning random-forest decision-tree predictive-maintenance classification-models random-forest-model
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Oct 1, 2025 - Jupyter Notebook
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