KNN-from-scratch

• This is an implementation of K- Nearest Neighbor Algorithm on the fundamental level.
• The dataset used for this implementation is taken from UCI machine learning repository.
• This is called the Iris data set. The dataset has attributes of three different types of flowers.
• Fundamentally the user will pass a value, k, and the classification process will happen with respect to the k nearest neighbors to the test point.