Data Analysis and Visualizations using Python

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…

With k-Fold Cross Validation (from scratch)

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

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 number of…

Visualizations and Predictions on COVID-19 pandemic data

Introduction

The COVID-19 pandemic also known as coronavirus pandemic is the ongoing outbreak of coronavirus disease (COVID-19). It is caused by a coronavirus called severe acute respiratory syndrome coronavirus 2 (SARS‑CoV‑2).

The outbreak was identified in Wuhan, China, in December 2019. The World Health Organization declared the outbreak a Public Health…

Chaitanya Krishna Kasaraneni

Data Science Intern at Predmatic AI https://chaitanyak.me

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