Workshop Details

ML Summit
The big training event for Machine Learning
October 11 - 13, 2021 | Online April 2022 | Munich

Alexander Mester
Vladimir Rybakov

en

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November 4
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Essential Workshop to Exploratory Data Analysis and Feature Engineering: Part 2

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.

Session Tracks

#Machine Learning 1