From 3b0bb580f662ab961cfde52b29b186520df483cf Mon Sep 17 00:00:00 2001 From: codebasics Date: Sat, 2 Oct 2021 11:19:39 -0400 Subject: [PATCH] knn --- ML/17_knn_classification/knn_exercise.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/ML/17_knn_classification/knn_exercise.md b/ML/17_knn_classification/knn_exercise.md index cbc8ac0d..f1b18049 100644 --- a/ML/17_knn_classification/knn_exercise.md +++ b/ML/17_knn_classification/knn_exercise.md @@ -1,4 +1,4 @@ -from sklearn.datasets load digits dataset and do following +From sklearn.datasets load digits dataset and do following 1. Classify digits (0 to 9) using KNN classifier. You can use different values for k neighbors and need to figure out a value of K that gives you a maximum score. You can manually try different values of K or use gridsearchcv 1. Plot confusion matrix 1. Plot classification report