The Conference for Machine Learning Innovation

Essential Workshop to Exploratory Data Analysis and Feature Engineering: Part 1

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

Most experienced data scientists would agree that data processing takes most of the time when undertaking
machine learning projects. Both data pre-processing and feature engineering quality is crucial for model performance.
However, it is not typically an easy thing to do. Dealing with real data, you are likely to encounter such problems as noise,
missing values, excessive information, etc. Building a good feature vector turns out to be just as hard. In this workshop,
you will learn some simple but effective ways of handling these problems using a public Google Play Store dataset
as an example.

This Session Diese Session 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