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)