learningwithmachines / Kaggle-Titanic

Files and Notebooks for Kaggle Titanic

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Files for Kaggle/Titanic

  • Result(s) :: 79.5%
  • Multiple Approaches.
  • SCIKIT Learn
  • TPOT Auto-ML
  • PyTorch MLP ADAM-WR with Cosine/Hypertan Annealing
  • Genetic Programming - CLI Symbolic Classifier with DEAP (atleast 79.5%)
  • XGBoost / CatBoost / LightGBM
  • FeatureTools DFS

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Files and Notebooks for Kaggle Titanic


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Language:Jupyter Notebook 99.9%Language:Python 0.1%