The Conference for Machine Learning Innovation

Essential Workshop to Exploratory Data Analysis and Feature Engineering

Workshop
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
Join the ML Revolution!
Register until August 12:
✓ML Intro Day for free
✓Save up to $380
Register Now
Join the ML Revolution!
Register until August 12:
✓ML Intro Day for free
✓Save up to $380
Register Now
Join the ML Revolution!
Register until November 7th:
✓Save up to € 210
✓10% Team Discount
Register Now
Join the ML Revolution!
Register until November 7th:
✓Save up to € 210
✓10% Team Discount
Register Now
Infos
Booking note:
Data Analysis Workshop
Infos
Monday, December 9 2019
09:00 - 17:00
Room:
Salon 8+9
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).

The workshop requires participants to have a basic knowledge of Python and Machine Learning. If you do not have any coding experience you are still welcome to join us to get a sense of how much effort is invested to develop a machine learning project. Also, all the solutions will be ​provided during the workshop. Each participant should bring their own laptop and make sure VPN restrictions do not block the connection to Google Colab.​

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

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

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

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

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