The Conference for Machine Learning Innovation

Feature Engineering and feature Selection Workshop Part 2

Workshop
Join the ML Revolution!
Register until October 20:
✓ Save up to $233
✓ Team discount
✓ Extra Specials for Freelancers
Register Now
Join the ML Revolution!
Register until October 20:
✓ Save up to $233
✓ Team discount
✓ Extra Specials for Freelancers
Register Now
Join the ML Revolution!
Register until November 03:

✓ Save up to €494
✓ 10% Team Discount✓ Special discount for freelancers
Register Now
Join the ML Revolution!
Register until November 03:

✓ Save up to €494
✓ 10% Team Discount✓ Special discount for freelancers
Register Now
Join the ML Revolution!
Until the Conference starts:
✓ Group discount
✓ Special discount for freelancers
Register Now
Join the ML Revolution!
Until the Conference starts:
✓ Group discount
✓ Special discount for freelancers
Register Now
Infos
Thursday, December 1 2022
13:30 - 17:00

Once you know the basics of Machine Learning you might think you just input some data into a model and out comes a great result. As is so often the case, the reality is different. Building a good machine learning model requires you to extract the relevant information from your data, the features.
Once you have all these features, you still need to select which of them are relevant.

In this workshop I will teach you how you go about finding the right set of features to predict the rating of apps in an app store.

This Session belongs to the Diese Session gehört zum Programm vom BerlinBerlin and  und MunichMunich program. Take me to the program of . Hier geht es zum Programm von Singapore Singapore .

Take me to the full program of Zum vollständigen Programm von Berlin Berlin .

Take me to the full program of Zum vollständigen Programm von Munich Munich .

This Session Diese Session belongs to the gehört zum Programm von BerlinBerlin and  und MunichMunich program. Take me to the current program of . Hier geht es zum aktuellen Programm von Singapore Singapore , Berlin Berlin or oder Munich Munich .

Behind the Tracks