Data Science

May 16, 2018
Welcome to Part II of the series on data visualization. In the last blog post, we explored different ways to visualize continuous variables and infer information. If you haven't visited that article, you can find it here. In this blog, we will expand our exploration to categorical variables and investigate ways in which we can visualize […]
May 10, 2018
This is a series of blogs dedicated to different data visualization techniques used in various domains of machine learning. Data Visualization is a critical step for building a powerful and efficient machine learning model. It helps us to better understand the data, generate better insights for feature engineering, and, finally, make better decisions during modeling […]
Webinar Date: March 22, 2018
HackerEarth, in association with Myntra, is pleased to announce its next webinar, Myntra Challenge for FactorBranded Data Warriors to help you learn from the best programmers and domain experts from all over the world. Points to be covered in this webinar Background of the problem - Brief on the fashion marketplace, the challenges, and importance of this […]
Webinar Date: March 19, 2018
HackerEarth, in association with Zomato, is pleased to announce its next webinar, Zomato Challenge for FactorBranded Data Warriors to help you learn from the best programmers and domain experts from all over the world. Points to be covered in this webinar Outlining the background of the problem - a brief on the logistics industry, the challenges, and […]
Webinar Date: March 12, 2018
HackerEarth is pleased to announce its next webinar on Delhivery Challenge for FactorBranded Data Warriors, to help you learn from the best programmers and domain experts from all over the world. About this webinar: In the present scenario of global economics, logistics play a key role in facilitating trade and, by extension, ensuring the success […]
August 13, 2017
“Today’s world is drowning in data and starving for insights. Our digital lives have created an overwhelming flood of information. In the last 5 years data scientists have come to the rescue by trying to make sense of it all. The sexy job in the next 10 years will be statisticians, and I’m not kidding.” […]