Sortable and searchable compilation of solutions to Kaggle competitions

[stared]

http://ndres.me/kaggle-past-solutions/

[forgotmyhnacc]

Thank you for this. I've been intimidated in starting in kaggle competitions, this will bring me up to speed on what the latest algorithms are.

[mhuffman → forgotmyhnacc]

I don't know what level you are operating at regarding machine learning or AI, but the fast.ai MOOC is one of the best educational resources in that area I have ever seen in my life. If you have not tried it out yet, I very highly recommend it.

[omegote]

For those who, like me, didn't know what Kaggle is, here's a description from Wikipedia:

> [Kaggle is] a platform for predictive modelling and analytics competitions on which companies and researchers post their data and statisticians and data miners from all over the world compete to produce the best models.

[abandonliberty → omegote]

It's like 99designs for data science

[matheweis]

This is really spectacular.

I've been finding that (much like classical algorithm problems), various types of problems that can be tackled with AI can be sort of reduced to common classes.

So, this is not only a database of solutions to specific problems, but in some cases partial or complete solutions to others.

[inputcoffee]

What a great contribution.

It's one of those things that, when you see it, you realize it ought to have existed.

Looking forward to people who use this for data analysis (which techniques work well for which problems under which conditions)