![]() ![]() If you also want to master the art of participating and acing a data science hackathon, then read on! “It gave me another perspective of looking at the problem.” “The content and the way each step is explained in a sequential manner.” I was able to make one submission yesterday and I have submitted one more today as well” It was extremely useful for me as a professional who is looking to change my job and build a career in datascience. ![]() “I learnt how to make a working machine learning model, how to implement different algorithms, how to establish hypothesis, train a model, use cross vaidation, different boosting algorithms. Here’s what our Community Had to Say About HackLive 1.0īefore we proceed, have a look at what our community members have to say: And this time it’s going to be even more fun! Thanks to the extremely overwhelming response of the community, we are now back with another power-packed and bolder edition of HackLive. It is a unique, guided live community hackathon brought to you by the experts at Analytics Vidhya where you get to learn the basics of a data science hackathon, how to approach a problem statement, EDA, model building, model evaluation, validation, and much more! So who better to learn all of these things than Analytics Vidhya’s experienced hackathon experts? It takes skill, finesse, knowledge and a certain know-how of how to navigate the competition. It’s not easy to go up against experienced hackathon experts abd climb up the leaderboard. Data science competitions are awesome! I love the variety of business problems we get to solve and when we add in the pressure of finding a solution under a tight deadline – it’s a great learning experience!īut these data science competitions can be daunting for many machine learning aspirants and enthusiasts.
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