Learn to build Machine Learning models with Python, from data preparation to advanced algorithms
Artificial intelligence is no longer just for research labs—it’s now being integrated into real-world IT projects. But to develop reliable machine learning models, you need to master the technical environment, the data, and the algorithms. This training covers the fundamentals of machine learning with Python: from essential libraries to classification algorithms, including supervised and unsupervised learning, without forgetting the ethical considerations.
Is it for you ?
IT specialists.
Prerequisite
None.
What You'll Walk Away With
- ✓ Set up a Python environment tailored for artificial intelligence development
- ✓ Implement classification and unsupervised learning algorithms
- ✓ Understand the ethical challenges and risks associated with developing AI models
Training content
1 Introduction to Machine Learning
- The technical environment of Machine Learning
- Python libraries for Machine Learning
- Working with data
- Supervised learning
- Classification algorithms
- Unsupervised learning
- Advanced learning concepts
- Challenges and risks of AI
2 Book
This module offers you the opportunity to consult a digital course material:
- Machine Learning with Python From theory to practice
📌 Practical information
100% online training. Accessible anytime from anywhere for one year. If you have any questions about registration, the language of instruction, or the cancellation terms, please consult our FAQ