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Predicting critical temperature for superconductivity based on physical and chemical properties

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Predict critical temperature to attain Superconductivity

Predicting critical temperature for superconductivity based on physical and chemical properties.

Preprocessing, EDA, feature engineering, model selection, training, and evaluation is done in notebooks/superconductivity.ipynb.

Best RMSE value of 9.5 kelvin was obtained on testing data.

Dependencies

  • Numpy
  • Pandas
  • Scikit-learn
  • XGBoost
  • Matplotlib
  • Seaborn

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Predicting critical temperature for superconductivity based on physical and chemical properties

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