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

Understanding NLP Pipeline

An introduction to phases of NLP pipeline Natural Language Processing (NLP) is one of the fastest growing field in the world. It is a subfield of artificial intelligence dealing with human interactions with computers. Main challenges in NLP involve speech recognition, natural language understanding, and natural language generation. NLP is making its way into a… Continue reading Understanding NLP Pipeline