This end-to-end application builds a multi-class classification methodology to predict the type of Hypothyroidism based on the given training data. The details about the dataset, exploratory analysis, model training and prediction can found in the application. See below for detailed application workflow. The code for this app can be found here.



Libraries Used:

  • App framework - flask, wsgiref
  • DB operations - sqlite3
  • Data processing and ML - numpy, pandas, matplotlib, scikit-learn, xgboost, kneed, pickle
  • General operations - os, shutil, csv, json, re, datetime, time

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