One of the most serious diseases, chronic kidney disease (CKD), is spreading quickly across the globe. It is lifelong condition that can impaired function of kidney. CKD doesn’t show symptoms until it’s on the later stage. Early diagnosis and treatment can stop or delay the development of CKD but it is very difficult to cure at later stages and can only be cure by kidney transplant, that’s why proper diagnosis is required at early stage to treat CKD. Machine Learning technique can now be used reliable for medical treatment. Doctors can use machine learning classifiers to detect CKD at early stage. Different classifier algorithms have been applied such as LSVM, Logistic Regression, Random Forest, Decision Tree, XGBoost Classifier, Gradient Boosting Classifier, AdaBoost Classifier and Multi-Layer Perceptron. Result shows that Logistic Regression has maximum accuracy of 98%.