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13 Common Mistakes Amateur Data Scientists Make and How to Avoid Them?
We look at the most common mistakes made by aspiring and junior data scientists make early in their career and how to avoid making them.
Pranav Dar 27 Feb, 2019
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DataHack Radio #4 – Data Privacy, Women in Data Science and More with Carla Gentry
Episode #4 of our popular podcast series, DataHack Radio, features Carla Gentry talking to us about the importance of data privacy, why data mining is critical, her advice to women in data science, and much more!
Pranav Dar 21 Jan, 2019
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Learn and Test your Machine Learning Skills with AV’s New Practice Problems and Free Courses!
We are excited to launch 2 new practice problems - identify the apparels and predicting if a joke is funny or not. In addition, we have also released 3 new free courses on time series, credit risk and predicting sales of a supermarket.
Pranav Dar 05 Jul, 2018
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Using the Power of Deep Learning for Cyber Security (Part 1)
In this article we explore deep learning applications for cyber security. Learn about infosec and a brief overview of Feed Forward Neural Network.
Guest Blog 14 May, 2020
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The Top GitHub Repositories & Reddit Threads Every Data Scientist should know (June 2018)
Take a look at the top machine learning and data science GitHub repositories and Reddit discussions that were designed and created in June, 2018.
Pranav Dar 31 May, 2020
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Understanding and Building an Object Detection Model from Scratch in Python
Object detection is seeing a boom in the machine learning space in recent times. Learn how to build object detection models from scratch in Python.
Faizan Shaikh 26 Aug, 2021
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DataHack Radio Episode #3 – Marios Michailidis’ Inspiring Story of a Non-Programmer to No. 1 on Kaggle
This episode of DataHack Radio features one of the top Kagglers in the world, Marios Michailidis. He reveals his tricks and tips of winning ML competitions, his take on data science techniques, and more!
Pranav Dar 21 Jan, 2019
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Guide to Build a Recommendation Engine in Python from Scratch
Guide to building recommendation engines from scratch in Python. Learn to build a recommendation engine using matrix factorization.
Pulkit Sharma 01 May, 2025
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Hiring the Right Data Scientist – The Needle in a Haystack Problem
Hiring the right data scientist has proven to be quite challenging for organisations. What are some of the pitfalls hiring managers face? What makes a good data scientist? We cover all of this in this article.
Guest Blog 10 May, 2019
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A Comprehensive Guide to Ensemble Learning (with Python codes)
Learn about ensemble learning techniques, including simple & advanced methods like bagging and boosting, along with key algorithms. Read Now!
Aishwarya Singh 04 Apr, 2025
