It's no surprise that some beginners hesitate to get started on Kaggle. They have reasonable concerns such as: How do I even start? Will I be up against teams of experienced Ph.d researchers? Is it worth competing if I don't have a realistic chance of winning? Is this what data science is all about? (If I don't do well on Kaggle, do I have future in data science?) How can I improve my rank in the future? Well, if you've ever had any of those questions, you're in the right place. In this guide, we'll break down everything you need to know about getting started, improving your skills, and enjoying your time on Kaggle. Kaggle competitions By nature, competitions (with prize pools) must meet several criteria. Problems must be difficult. Competitions shouldn't be solvable in a single afternoon. To get the best return on investment, host companies will submit their biggest, hairiest problems. Solutions must be new. To win the latest competitions, you'll usuall
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