Parul Pandey
Machine Learning Engineer at Weights & Biases
Expertise: Data science, machine learning, artificial intelligence
Education: National Institute of Technology Hamirpur
Parul Pandey is a machine learning engineer at Weights & Biases, a developer-first MLOps platform. Before this, she worked as a data scientist at H2O.ai, combining data science and developer advocacy in her work. She is also a Kaggle Grandmaster in the notebooks category and was one of LinkedIn’s Top Voices in the software development category in 2019.
Pandey is co-authoring a book on responsible AI and has written multiple articles focused on data science and software development for various publications. She also has a background in electrical engineering.
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10 Articles
Sep 27, 2022
Vector norms are an important concept to machine learning. This guide breaks down the idea behind the L¹, L², L∞, and the Lᵖ norms.
Sep 20, 2022
Sorting data is easy with the Pandas library. This tutorial introduces you to the basics.
Jun 13, 2022
Trying and failing to decipher your own codebase? Remember: Good code is its own best documentation.
Jun 07, 2022
Here are a few important caveats to keep in mind when you’re encoding data with pandas.get_dummies().
May 03, 2022
Here’s how to heat up your heat maps and make sure they stand out.
Mar 22, 2022
Read data directly from the clipboard without saving it first. Here’s how.
Mar 03, 2022
Come with me on a whirlwind tour of 5 libraries that will be a great addition to your data science stack.
Feb 08, 2022
This open-source Python development framework can help you quantify and eradicate unconscious bias in job descriptions.
Jan 25, 2022
Get notified when your long-running cell finishes execution, and get on with your life.
Jan 05, 2022
Here’s an overview of some commonly used Python libraries that provide an easy and intuitive way to transform images.