CKD_prediction:

CKD prediction using Decision tree & Random Forest

Description:

1.The dataset selected for the case study is "Chronic kidney disease", collected from UCI machine learning. 2.This dataset is used to predict the chronic kidney disease which is collected from hospitals for 2 months of period. 3.This is a Multivariate dataset having 400 instances. Number of attributes/columns of the dataset are: 25 4.Target/dependent variable is the 'Class' attribute

Dataset:

https://colab.research.google.com/corgiredirector?site=https%3A%2F%2Farchive.ics.uci.edu%2Fml%2Fdatasets%2Fchronic_kidney_disease