Online workshop – Linear models in Machine Learning – May 2021
In this workshop, linear models in supervised machine learning are presented both in theory and in practice using Python programming language and its powerful scikit-learn library.
This workshop will cover these topics:
- Linear regression
- Lasso regression
- Ridge regression
- Elastic Net regression
- Logistic regression
This workshop will be given remotely and streaming using LiveWebinar platform, which works on every updated internet browser. No installation is then required.
The duration is about 60 minutes.
The speaker will show some slides for the theoretical part of the content and will write code during the event using Google Colaboratory for the practical part.
Participants can engage with the teacher and the other students using the online chat function near the video on the event page.
The event will be recorded. The recording and the source code written by the speaker will be given to the participants.
What will I get once I join the workshop?
After you pay the registration fee, you’ll get:
- Access to the workshop according to the time schedule
- Access to an area on this website where you’ll find the recording of the live session and other files and contents that the teacher may give you
- Attendance certificate in PDF format if you attend the entire live session of the workshop