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Kaggle is a enjoyable platform internet hosting quite a lot of knowledge science and machine studying competitions — masking subjects comparable to sports activities, power or autonomous driving.
On this publish we are going to give an introduction to Kaggle, and sort out the introductory “Titanic” problem. We are going to clarify tips on how to strategy and clear up such a problem, and show this with a high 7% answer for “Titanic”.
Yow will discover the total code on Github, and with that following alongside whereas studying this text, in addition to reproduce my actual rating. In it, we comply with some issues I take into account finest observe for Python and use useful instruments, comparable to mypy and poetry. With that being stated, let’s dive proper into it.
Kaggle gives all kinds of information science / machine studying competitions, see the intro for examples. It’s a good way to check and enhance your knowledge science / ML information and discover ways to clear up issues hands-on. Plus, you possibly can even win financial costs! Nevertheless, Kaggle is populated by a number of the finest knowledge scientists and ML folks on the market — and costs are solely given to the few high options (out of a number of lots of or hundreds) — thus profitable right here is…
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