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
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Best RMSE value of 9.5 kelvin was obtained on testing data.
- Numpy
- Pandas
- Scikit-learn
- XGBoost
- Matplotlib
- Seaborn