Machine learning in practice
Building, validating and comparing models for classification and regression.
Enquire for your team- For whom
- Professionals with data experience who want to build their own predictive models.
- Format
- Company training
- Level
- Advanced
- Prerequisites
- Python and basic statistics, for example from “Statistics and data analysis with Python”.
- Leads on to
- No further course
- Duration
- 2 days
- Participants
- up to 12 people
- Price per person
- €1,190 plus VAT
- Trainer
- Dr. Daniel Friemert
Contents
- Classification and regression with scikit-learn
- Splitting data, validating, avoiding overfitting
- Comparing models and choosing metrics
- From notebook to reusable model
How it works
- We agree the date, location and focus with you.
- Price per person plus VAT; in-house guide price €2,400 per day for up to 12 people.
- Materials in advance on request.
Trainer
Dr. Daniel Friemert
Physicist · Consultant for software, architecture and AI
Advises companies on software architecture, software quality and AI in development, and leads training on these subjects. Researches software development with AI and biomechanics and writes our technical book series.
More about DanielFor your team
Tell us how many people will take part and which period you have in mind.
Enquire for my team