KNN & Naive Bayes Classifier using Excel

The k-nearest neighbor algorithm (KNN) is a method to classify an object based on the majority class amongst its ‘k’ nearest neighbors.
Naive Bayes methods are a set of supervised learning algorithms based on applying Bayes’ theorem with the “naive” assumption of conditional independence between every pair of features given the value of the class variable.
The zip contains 2 workbooks
1. K Nearest neighbour with detailed working of Euclidean distances
2. Naive Bayes Classifier with application to credit risk modelling
The excel sheets comes accompanying with a PPT explaining all the steps.