Photo by Aaron Burden on Unsplash

I appeared on the FastBook Reading Sessions organised by Weights & Biases to discuss about the benefits of writing in Data Science. I wrote this piece to summarize what I covered there. This article was originally published on their forums but I’m sharing a somewhat edited version here as well…


Image by Author using @Canva

ImageNet is one of the most widely used datasets in Computer Vision applications. However, studies have shown biases prevalent in this dataset based on the collection methodology and the types of images present. In this respect, a team of researchers at the Visual Geometry Group, the University of Oxford, have…


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What’s behind you doesn’t matter — Enzo Ferrari

The 72nd season of the Formula One World Championship or F1 is underway. Fierce battles are being witnessed between the ten teams for the ultimate title. Nevertheless, the races are not without their fair share of drama, anticipation, sweat, tears, and emotions…


Hands-on Tutorials

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Good charts effectively convey information. Great charts enable, inform, and improve decision making.” — Dante Vitagliano

Interactive charts are loved by all as they can tell a story more effectively. The same is true in data science and allied fields. Exploratory data analysis is an essential step in the data…


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Note:

1. All images are by the author except where stated otherwise.

2. There are two typos in the article. However, I am unable to rectify them as I don’t have permission to edit the images post article’s publication. …


Photo by Tengyart on Unsplash

You’ll just never know…so many emotions I choose not to show you

Emotion Recognition is a common classification task. For instance, given a tweet, you create a model to classify the tweet as being either positive or negative. However, human emotions consist of myriad emotions and cannot be constrained to…


Thanks to https://undraw.co/illustrations for providing free illustrations

In their paper, Tabular Data: Deep Learning is Not All You Need, the authors argue that while deep learning methods have shown tremendous success in the image and text domains, traditional tree-based methods like XGBoost still continue to shine when it comes to tabular data. …


Every month I send out a newsletter that summarises my writing activity in the past month along with some interesting stuff that I encounter in the machine learning space. This month I am also sharing the newsletter here. …


Data illustrations by Storyset

While going through the list of the articles that I have written to date, I discovered that quite a few were related to the concept of acquiring datasets for data science tasks. Some of those articles are targeted at finding good dataset websites, while others look at ways to create…


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In these series of interviews, I present the stories of established Data Scientists and Kaggle Grandmasters at H2O.ai, who share their journey, inspirations, and accomplishments. These interviews are intended to motivate and encourage others who want to understand what it takes to be a Kaggle Grandmaster.

I recently got the…

Parul Pandey

Data Science @H2O.ai | Working at the intersection of product, community and developer advocacy.

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