/Chronic_Kidney_Disease_Prediction

I made a model which can detect if a person has Chronic Kidney Disease by inputting some data. I also made a WebApp using Heroku

Primary LanguageJupyter Notebook

Chronic_Kidney_Disease_Prediction

  • I pre-processed the data followed by data visualization, feature engineering, feature selection, standardization, and building models. Random Forest Model get higher accuracy and AUC score than other model. I also made an Webapp using Heroku.
  • Link for Webapp: https://chronic-kidney-detection-ml.herokuapp.com/

Libraries I used:

  • sklearn, pandas, numpy, matplotlib, seaborn

Model Builded:

  • Logistic Regression
  • Decision Tree Classifier
  • AdaBoost Classifier
  • Random Forest Classifier
  • Support Vector Machine (SVM)