Writings

I mainly write on Medium and maintain a healthy blog there. However, in the past I have also written for a number of other publications like KD Nuggets, Datacamp, Built-in among others. I also wrote a piece on Shap values for NVIDIA AI. Some of my articles have also been featured in the documentation of some open-source Python libraries like Lux, Modin, Google's What-if Tool, and InterpretMLfrom Microsoft.

Generative AI
Can Recommendations from LLMs be manipulated to enhance a product’s visibility?
Visual Guides to understand the basics of Large Language Models
Insights into Llama 2 Development: Notes on Angela Fan’s Lecture

Interviews
Don’t just take notes — turn them into articles and share them with others-An interview with Alexey Grigorev, author of the book- Machine Learning Bookcamp
You do not become better by employing fancy techniques but by working on the fundamentals
Publishing Is Powerful as It Serves as a Catalyst for Scope and Writing Decisions
Writing a book on NLP is a bit like solving a complex data science project

Tips & Tricks
A Close Look at Colab’s new updates and enhancements
A Tour of 10 Useful Github Features
Automate your data science project structure in three easy steps
Building a compelling Data Science Portfolio with writing
My favorite tools for managing, organizing, and reading research papers

Automated Machine Learning
H2O AI Hybrid Cloud: Democratizing AI for every person and every organization
Automate your Model Documentation using H2O AutoDoc
A Deep dive into H2O’s AutoML

Computer Vision
Increasing the amount and diversity of data using scikit-image in Python
Creating custom image datasets for Deep Learning projects
Vegetation Index calculation from Satellite Imagery
Face Detection with Python using OpenCV

Data Analysis & Visualisation
The curious case of Simpson’s Paradox
Reducing memory usage in pandas with smaller datatypes
5 Real World datasets for honing your Exploratory Data Analysis skills
Simplifying subplots creation in Matplotlib
Visualizing Decision Trees with Pybaobabdt
Render Interactive plots with Matplotlib
Increase the cuteness quotient of your charts
Create GitHub’s style contributions plot for your Time Series data
A better way to visualize Decision Trees with the dtreeviz library
Get Interactive plots directly with pandas
Cluster Analysis in Tableau
Quadrant Analysis in Tableau
Visualizing large datasets with H2O
10 Free tools to get started with Data Visualisation-Easily & Instantly
5 ‘More’ Open Source tools to get started with Data Visualisation, easily
Advanced plots in Matplotlib - Part 1
Advanced plots in Matplotlib — Part 2
Recreating Gapminder in Tableau: A Humble tribute to Hans Rosling
Getting started with Time Series using Pandas
Awesome JupyterLab Extensions

Deep Learning
Improving Search Query Accuracy: A Beginner’s Guide to Text Regression with H2O Hydrogen Torch

Responsible AI
Bridging Domains: Infusing Financial, Privacy, and Software Best Practices into ML Risk Management
Organizational Processes for Machine Learning Risk Management
Cultural Competencies for Machine Learning Risk Management
Explaining models built in H2O
How effective is Google's Bold and Responsible Approach to AI?
Exploring the Vulnerability of Language Models to Poisoning Attacks
Explain Your Machine Learning Model Predictions with GPU-Accelerated SHAP
Interpretable or Accurate? Why not both?
Shapley summary plots: the latest addition to the H2O.ai’s Explainability arsenal
Interpretable Machine Learning

Kaggle
From the game of Go to Kaggle: The story of a Kaggle Grandmaster from Taiwan
What does it take to win a Kaggle competition? Let’s hear it from the winner himself
What it takes to become a World No 1 on Kaggle
Meet the Data Scientist who just cannot stop winning on Kaggle
The inspiring journey of the ‘Beluga’ of Kaggle World 🐋
Learning from others is imperative to success on Kaggle says this Turkish GrandMaster
Getting ‘More’ out of your Kaggle Notebooks
How a passion for numbers turned this Mechanical Engineer into a Kaggle Grandmaster
Geek Girls Rising: Myth or Reality
Meet Yauhen: The first and the only Kaggle Grandmaster from Belarus
The Data Scientist who rules the ‘Data Science for Good’ competitions on Kaggle
From Academia to Kaggle: How a Physicist found love in Data Science
A Data Scientist’s journey from Sudoku to Kaggle
The Data Scientist who rules the ‘Data Science for Good’ competitions on Kaggle

Pandas
From clipboard to DataFrame with Pandas
Get Interactive plots directly with Pandas
There is more to ‘pandas.read_csv()’ than meets the eye
A hands-on guide to ‘sorting’ dataframes in Pandas
Reducing memory usage in pandas with smaller datatypes
Loading large datasets in Pandas
Extracting information from XML files into a Pandas dataframe
PandasGUI: Analyzing Pandas dataframes with a Graphical User Interface
Beware of the Dummy variable trap in pandas
Pandas Plot: Deep Dive Into Plotting Directly with Pandas

Programming & Python
Diving Deeper into Stock Data Analysis with Python in Excel
Five wonderful uses of ‘f- Strings’ in Python
Use Colab more efficiently with these hacks
Enabling notifications in your Jupyter notebooks for cell completion
Using Python’s datatable library seamlessly on Kaggle
Basics of BASH for Beginners
Useful pip commands for Data Science
Getting more value from the Pandas’ value_counts()
Speed up your Data Analysis with Python’s Datatable package
Useful String Methods in Python
Elements of Functional Programming in Python
An Overview of Python’s Datatable package
Python’s Collections Module — High-performance container data types
Understanding Decision Trees

Machine Learning
Reviewing the TensorFlow Decision Forests library
Tensors are all you need
Five Open-Source Machine learning libraries worth checking out
Understanding Decision Trees
Alternative Python libraries for Data Science
Demystifying Neural Networks: A Mathematical Approach (Part 1)
Demystifying Neural Networks: A Mathematical Approach (Part 2)

Course Reviews
Reviewing the recently released HuggingFace 🤗 Course

Data Science Resources
My Top Five Data Science Reads of 2018

Linear Algebra
A quick guide to understanding Vector Norms

Natural Language Processing
Analysis of Emotion Data: A Dataset for Emotion Recognition Tasks
Building a Simple Chatbot from Scratch in Python (using NLTK)
Simplifying Sentiment Analysis using VADER in Python (on Social Media Text)
Free hands-on tutorials to get started in Natural Language Processing
Effortless Fine-Tuning of Large Language Models with Open-Source H2O LLM Studio

SQL
Programming with Databases in Python using SQLite
SQL Interface within JupyterLab

Satellite Imagery Analysis
Visualizing India’s Seismic activity
Interactive Geographical maps with GeoPandas

Thought Articles on AI
How to effectively employ an AI strategy in your business
AI for Everyone: Myth or Reality?
How effective is Google's Bold and Responsible Approach to AI?

Miscellaneous
Books I enjoyed reading in 2023!