Exclusive Interview with Sonny Laskar – Kaggle Master and Analytics Vidhya Hackathon Expert
Introduction What’s the key to cracking data science competitions? How do you use this experience to break into the data science industry? We regularly …
Data science competitions
Introduction to Feature Selection methods with an example (or how to select the right variables?)
Introduction One of the best ways I use to learn machine learning is by benchmarking myself against the best data scientists in competitions. It …
Winning Strategies for ML Competitions from Past Winners
Introduction We launched Knocktober last night and we were happy to see the excitement it has created among all the participants. This time we …
Knocktober – Machine learning Competition, 21st Oct, Analytics Vidhya
Introduction This friday it gets better than ever. Machine Learning war between Data Nerds only on Analytics Vidhya. Knocktober – a machine learning competition …
Winner’s Solution from the super competitive “The Ultimate Student Hunt”
Introduction The Ultimate Victory in a competition is derived from the inner satisfaction, of knowing that you have done your best and made most …
Winner’s Secrets Decoded from “The Smart Recruits”
Introduction Lao Tzu philosophy matches our thoughts behind AV hackathons. We believe knowledge can only be useful when it is applied and tested time and …
Winning Solutions of DYD Competition – R and XGBoost Ruled
Introduction It’s all about an extra mile one is willing to walk! Winning a data science competition require 2 things: Persistence and Willingness to try …
New Year Resolutions for a Data Scientist
Introduction New Year is not just replacing your table calendar with a new one or waking up next morning rubbing your eyes. It’s celebrating …
My recommendations – SlideShare Presentations on Data Science
Introduction Every one has their own learning sytle! If you need close hand holding and guidance – an easy going MOOC is probably the best …
Simple infographic to help you compete in Data Science Competitions!
Introduction There are only 2 possible outcomes for every serious participant in a data science competition – you either win it or you learn …
