4990,00 Kč
Prerequisites
- basic knowledge of Python programming.
- basic knowledge of university mathematics (Calculus, Probability, Statistics).
Outline
- The Machine Learning workflow.
- Exploratory data analysis.
- Pipelines for classification and regression.
- Decision trees and ensemble models.
- Model explainability.
- Unsupervised learning: clustering and dimensionality reduction.
Description
In this course, we will go to the basics of Machine Learning. At the end of the course, you would be familiar with the scikit-learn machine learning library.
Note: All trainings are in English language.
Additional information
| Date | January 12th, 2024, 9:00-16:00 CET (online) |
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