The Conference for Machine Learning Innovation

Essential Workshop to Exploratory Data Analysis and Feature Engineering

Workshop
Join the ML Revolution!
Register until October 21:
✓ 50% off on all prices
✓ 10% team discount
Register Now
Join the ML Revolution!
Register until October 21:
✓ 50% off on all prices
✓ 10% team discount
Register Now
Join the ML Revolution!
Register until September 23:
✓ PS Classic or C64 Mini for free
✓ Save up to €310
10 % Team Discount
Register Now
Join the ML Revolution!
Register until September 23:
✓ PS Classic or C64 Mini for free
✓ Save up to €310
10 % Team Discount
Register Now
Join the ML Revolution!
Register until the conference starts:
✓ 2-in-1 conference special
✓ 10 % Team Discount
Register Now
Join the ML Revolution!
Register until the conference starts:
✓ 2-in-1 conference special
✓ 10 % Team Discount
Register Now
Infos
Tuesday, November 23 2021
10:00 - 17:45
Booking note:
Data Analysis Workshop

Most experienced data scientists would agree that data processing takes the most 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. When 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. First of all, we’ll explore and preprocess the data: clean them, fix the errors, convert to the appropriate type, etc. Then we will analyze data relations. After that, we will use several ways to engineer new features. Finally, we will show how feature engineering affects model efficiency. Therefore, the workshop will cover: Primary data analysis and Preprocessing Exploratory Data AnalysisFeature EngineeringData Analysis and Feature engineering tools (new).

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

This Session belongs to the Diese Session gehört zum Programm vom SingaporeSingapore program. Take me to the program of . Hier geht es zum Programm von Berlin Berlin .

This Session belongs to the Diese Session gehört zum Programm vom SingaporeSingapore program. Take me to the program of . Hier geht es zum Programm von Munich Munich .

This Session Diese Session belongs to the gehört zum Programm von SingaporeSingapore 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