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bernoulli-naive-bayes-classifier

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virchan / predictive_modeling_workflow

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This project explores the predictive modeling workflow using the Kaggle competition "Titanic - Machine Learning from Disaster." It emphasizes key stages like data analysis and model evaluation, aiming to identify the optimal model. Through a real-world approach, we enhance our understanding of the workflow and emphasize rigorous model evaluation.

kaggle-competition logistic-regression feedforward-neural-network confusion-matrix data-preprocessing predictive-modeling data-preparation hypothesis-testing decision-tree-classifier titanic-survival-prediction support-vector-classifier model-training random-forest-classifier dummy-classifier adaboost-classifier gaussian-naive-bayes-classifier model-evaluation-and-selection bernoulli-naive-bayes-classifier
  • Updated Jul 3, 2023
  • Jupyter Notebook

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