Rahul Agarwal

Rahul Agarwal is a Machine Learning Engineer at Facebook. Previously, he was a data scientist at Walmart Labs India, and worked at several startups. Find him at @MLWhiz on Twitter, or mlwhiz.com

Why Do Machine Learning Projects Fail?

By Rahul Agarwal, MLE @ FB | Ex-Walmart DS | MLWhiz on February 24, 2021 in A/B Testing, Failure, Machine Learning, Model Drift, Production, Project Fail
At the beginning of any data science project, many challenges could arise that lead to its eventual collapse. Making sure you look ahead -- early in the planning -- toward putting your resulting model into production can help increase the chance of delivering long-term value with your developed machine learning system.
Object-Oriented Programming Explained Simply for Data Scientists

By Rahul Agarwal, MLE @ FB | Ex-Walmart DS | MLWhiz on December 1, 2020 in Data Science, Data Scientist, Explained, Programming, Python
Read this simple but effective guide to start using Classes in Python 3.
Understanding Transformers, the Data Science Way

By Rahul Agarwal, MLE @ FB | Ex-Walmart DS | MLWhiz on October 1, 2020 in Data Science, Neural Networks, NLP, Transformer
Read this accessible and conversational article about understanding transformers, the data science way — by asking a lot of questions that is.
The Most Complete Guide to PyTorch for Data Scientists

By Rahul Agarwal, MLE @ FB | Ex-Walmart DS | MLWhiz on September 24, 2020 in Data Science, Data Scientist, Neural Networks, Python, PyTorch
All the PyTorch functionality you will ever need while doing Deep Learning. From an Experimentation/Research Perspective.
Five Cognitive Biases In Data Science (And how to avoid them)

By Rahul Agarwal, MLE @ FB | Ex-Walmart DS | MLWhiz on June 12, 2020 in Advice, Bias, Cognitive Bias, Confirmation Bias, Data Science
Everyone is prey to cognitive biases that skew thinking, but data scientists must prevent them from spoiling their work. Learn more about five biases that can all too easily make your seemingly objective work become surprisingly subjective.
Don’t Democratize Data Science

By Rahul Agarwal, MLE @ FB | Ex-Walmart DS | MLWhiz on June 2, 2020 in Automated Data Science, AutoML, Citizen Data Scientist, Data Science, Online Education
A plethora of online courses and tools promise to democratize the field, but just learning a few basic skills does not a true data scientist make.
The 5 Most Useful Techniques to Handle Imbalanced Datasets

By Rahul Agarwal, MLE @ FB | Ex-Walmart DS | MLWhiz on January 22, 2020 in Balancing Classes, Datasets, Metrics, Python, Sampling, Unbalanced
This post is about explaining the various techniques you can use to handle imbalanced datasets.
Handling Trees in Data Science Algorithmic Interview

By Rahul Agarwal, MLE @ FB | Ex-Walmart DS | MLWhiz on January 16, 2020 in Algorithms, Data Science, Decision Trees, Interview Questions
This post is about fast-tracking the study and explanation of tree concepts for the data scientists so that you breeze through the next time you get asked these in an interview.
Learning SQL the Hard Way

By Rahul Agarwal, MLE @ FB | Ex-Walmart DS | MLWhiz on January 8, 2020 in Databases, MySQL, Programming, SQL
Simply put: This post is about installing SQL, explaining SQL and running SQL.
How to Write Web Apps Using Simple Python for Data Scientists

By Rahul Agarwal, MLE @ FB | Ex-Walmart DS | MLWhiz on October 22, 2019 in Apps, Data Science, Data Scientist, Python
Convert your Data Science Projects into cool apps easily without knowing any web frameworks.

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Rahul Agarwal

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