This post contains links to my articles on other platforms. An introduction to Explainable AI (XAI) and Explainable Boosting Machines (EBM) on KDNuggets
Los Angeles Neighborhood Analysis
This project is a part of “IBM Data Science Professional Certificate on Coursera”. You can check my Jupyter Notebook on GitHub Introduction Los Angeles is a very vibrant city with a lot of neighborhoods, each with unique character. Some neighborhoods are quiet and cozy, has convenient store locations, while others offer a lot of fun… Continue reading Los Angeles Neighborhood Analysis
Build k-NN from scratch in Python
In this article, we shall understand how k-Nearest Neighbors (kNN) algorithm works and build kNN algorithm from ground up. We also shall evaluate our algorithm using the k-Fold cross-validation which is also developed from scratch. After completing this tutorial you will know: How to code the k-Nearest Neighbors algorithm step-by-step How to use k-Nearest Neighbors… Continue reading Build k-NN from scratch in Python