The Conference for Machine Learning Innovation

Essential Workshop to Exploratory Data Analysis and Feature Engineering: Part 2

Workshop
Join the ML Revolution!
Until June 2
✓ Save up to 226€
✓ Group discount
✓ Special discount for freelancers
Register Now
Join the ML Revolution!
Until June 2
✓ Save up to 226€
✓ Group discount
✓ Special discount for freelancers
Register Now
Thank you for attending!
Register Now
Thank you for attending!
Register Now
Join the ML Revolution!
Register until conference starts:
✓ 2 in 1 conference special
✓ 10 % Team Discount
Register Now
Join the ML Revolution!
Register until conference starts:
✓ 2 in 1 conference special
✓ 10 % Team Discount
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 Munich Munich , Singapore Singapore or oder Berlin Berlin .

Behind the Tracks