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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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An exploration of the Titanic dataset from Kaggle. The project includes training various Machine Learning models to predict Survival and the best performing one is used in a Flask app which generates predictions based on user input.

python data-science machine-learning web-application kaggle feature-selection feature-extraction flask-application classification data-analysis feature-engineering predictive-analytics data-pipelines model-deployment ci-cd-pipeline render-deployment model-training-and-optimization
  • Updated Jun 7, 2024
  • Jupyter Notebook

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