![]() ![]() Similarly, the first step towards solving any business problem using machine learning is hypothesis generation. You have all been making an educated guess and generating hypotheses based on your domain knowledge of the sport. If you have been guessing which team would win based on various factors like the size of the stadium and batsmen present in the team with six hitting capabilities or batsmen with high T20 averages, then kudos to you all. It is that time of the year when IPL fever is high and we are all absorbed in predicting the winner. Let us consider the example of a famous sport in India – cricket. Let’s be honest – all of us think of a hypothesis almost everyday. It’s a truly crucial step in ensuring a successful data science project. That distinction belongs to hypothesis generation – the step where combine our problem solving skills with our business intuition. ![]() The first step towards problem-solving in data science projects isn’t about building machine learning models. This article was published as a part of the Data Science Blogathon. ![]()
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