Pankaj Chejara - Blog

Basics of Data Manipulation and Visualization in R

This tutorial provides a practical introduction to manipulating and visualizing data in R, covering essential topics such as accessing specific columns or rows, applying…

How to Successfully host your Dash application on Render

This post will provide detailed instructions on the hosting process of a dash application on Render. Render is a hosting service provider. It offers a free tier that can be…

Guide to train word embeddings from scratch

This blog post explains the procedure to train word embeddings from scratch. Word embeddings are dense vector representation of text data (Check this blog pos for the basics).

Introduction to word embeddings with hands-on exercises

A word embedding is a numeric representation of text in natural language processing. The representation is in the form of a vector where each number represents a dimension…

Building a surname classifier using PyTorch

This post presents an NLP (Natural language processing) example based on the book NLP with PyTorch:Building intelligent language applications using deep learning. In the…

A primer on discrete data distribution fundamentals

This post offers an introduction to discrete data distributions which are essential to know for every data scientist. The post starts by explaining what does it mean by data…

Hands-on experience with `llama2` with Python: Building a simple Q&A app

This post shares the step-by-step process of running the LLAMA2 model locally on MAC. The post is a reflection of my learning of Large Language Models and their practical…

Sentiment prediction using Pytorch

This year, I started exploring NLP (natural language processing) given its huge potential for building intelligent systems capable of understanding and generating text in…

Basics of Natural Language Processing in Python

Natural language processing is an interdisciplinary field combining computer science, artificial intelligence, and linguistics. Natural language processing focuses on the…

Introduction to Regular Expressions

This post will explain the basics of regular expression. Regular expression (regexp in short) is a powerful technique of text searching and text manipulation. If you are…

Location data visualization on Map using Python

This tutorial will show you how to work with geospatial data using Python with library geoPandas. For this exercise, I have used Boston Bike Sharing dataset which is…

Introduction to Python Dash Framework

Dashboards play a crucial role in conveying useful and actionable information from collected data regardless of context. As with economically feasible sensors, improved…

Computing inter-rater aggrement scores using Python

Recently, I was involved in some annotation processes involving two coders and I needed to compute inter-rater reliability scores. There are multiple measures for…

Understanding Gramian Angular Field

In this post, I will share my learning on this topic. I have been searching for a way to use a convolutional neural network (CNN) for my time-series data and this search led…

R tutorial on accessing, filtering, aggregating and plotting data

This post offers a tutorial on how to access, filter, aggregate and plot the data in R. It will mainly covers following topics

Setting up MQTT server and Client

This post offers an introduction to the MQTT (Message Queuing Telemetry Transport) protocol [1] and also demonstrates its usage with an example in Python (Just for info…

Statistical tests in R

This post delves into inferential statistics and explains two different statistical test. Additionally, this post also talks about the need of performing these tests along…

Introduction to Python’s Pandas API

Pandas is a Python API for processing data in a easy and efficient way. This post offers an introduction to this amazing API , especially for beginners.

Understanding Principal Component Analysis under the hood

Let’s assume that you have a dataset with a higher number of attributes and you are thinking Is there any way to compress this information into a smaller number of attributes.

Facial feature extraction using OpenFace

In this post, I will discuss the work I have been doing recently. I needed to extract facial features from the recorded video and for this task, I decided to use OpenFace…