This is the material covered in the Springboard Data Science bootcamp. The second capstone folder is the project 'Predicting Parkinson disease using mass spectrometry data'. Leveraged mass spectrometry data to develop a protein and peptide abundance feature model using elastic net logistic regression to predict different Parkinson progression score categories with 75% accuracy.
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