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model-training-and-optimization

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mudasarsabir / Titanic-Competition-By-Decision-Tree-Classification

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Titanic Survival Prediction Using Decision Tree. This project uses a Decision Tree Classifier to predict Titanic passenger survival based on the Kaggle dataset. It covers data preprocessing, feature engineering, and model training with Scikit-learn.

machine-learning scikit-learn python3 kaggle-competition supervised-learning predictive-modeling decision-tree decision-tree-classifier binary-classification data-science-competition categorical-variables numpy-library pandas-library categorical data-science-projects titanic-dataset-predictions model-training-and-evaluation model-training-and-tuning model-training-and-optimization
  • Updated May 4, 2025
  • Jupyter Notebook

JustaKris / Titanic-Machine-Learning-from-Disaster

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A portfolio ML project: Titanic survival prediction system with 85%+ accuracy, ensemble methods, SHAP explainability, Flask REST API, Docker deployment, and comprehensive testing. Production-grade code with type hints, pytest, and CI/CD.

python data-science machine-learning web-application kaggle feature-selection feature-extraction flask-application classification data-analysis feature-engineering predictive-analytics data-pipelines azure-deployment model-deployment ci-cd-pipeline render-deployment model-training-and-optimization
  • Updated Jan 10, 2026
  • Jupyter Notebook

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