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I am starting to learn machine learning (ML). I'm thinking about starting to take part in some projects in ML.

Is Kaggle is a good place to find projects in ML to work on?

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  • $\begingroup$ The site has a good Alexa ranking, which is an indicator it is widely visited and utilized. They do advise starting with the Titanic is "you're new to data science and machine learning, or looking for a simple intro to the Kaggle prediction competitions" so it seems like a good place to wade in for someone new to the field. (Hopefully this question will yield an answer from a kaggle user) Good luck and welcome to AI! $\endgroup$ – DukeZhou Jun 19 '17 at 18:16
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Yes, Kaggle is a great place to start working on ML projects. You will start using ML algorithms (at first, using scikit-learn or any other ML library of your choice), learn the concepts of cross-validation (very important concept). You will cope with imbalanced classes, various size of datasets. Moreover, you will be able to ask questions and receive feedback from the community.

It's a great place to start and keep learning, but do not limit yourself at using ML algorithms blindly. Try to understand them, even re-write them if you want.

But it's definitely a lot of fun and there are always several competitions running so you can choose whatever dataset you prefer.

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Yes, definitely it is.

It puts you in front of real-world problems, theoretical questions and practical issues that are not necessarily what you deal with in college/university tasks and projects.

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Kaggle is a great website. The website provides challenges that allow you to see how various components of ML interplay with each other. For example, large data sets, standard debugging of ML code (much like a "standard" computer programmer), and seeing the breadth of applications of ML to everyday problems are just a few of these components.

Coupling working on Kaggle projects with theoretical study of AI/ML is an effective way to learn ML quickly.

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