K Nearest Neighbor classification with Intuition and practical solution

In pattern recognition, the k-nearest neighbors algorithm (k-NN) is a non-parametric method used for classification and regression. k-NN is a type of instance-based learning, or lazy learning, where the function is only approximated locally and all computation is deferred until classification. Github link: https://github.com/krishnaik06/K-NEarest-Neighbor You can buy my book where I have provided a detailed explanation of how we can use Machine Learning, Deep Learning in Finance using python Packt url : https://prod.packtpub.com/in/big-data-and-business-intelligence/hands-python-finance Amazon url: https://www.amazon.com/Hands-Python-Finance-implementing-strategies-ebook/dp/B07Q5W7GB1/ref=sr_1_1?keywords=Krish+naik&qid=1554285070&s=gateway&sr=8-1-spell