Introduction to Machine Learning
The “Introduction to Machine Learning” course provides a comprehensive overview of the fundamental concepts and techniques in machine learning. Participants will acquire a solid understanding of the principles that drive machine learning algorithms and how to apply them to solve real-world problems.
Content
Introduction to Machine Learning
Supervised Learning
Python for Machine Learning
Linear Regression
Logistics Regression
Unsupervised Learning
K-Means and K-Nearest Neighbors
Evaluation Metrics
Hands-on Machine Learning
Learning Outcomes
Understand the principles that drive machine learning algorithms
Apply machine learning algorithms to solve real-world problems
Training Method
Theoretical presentation
Practical excercises
Organised By
Digital Learning Hub Luxembourg
Certification
Participation OnlyPrerequisites
Basic understanding of programming concepts
Familiarity with Python
Good understanding of probability and statistics
Planning and location
08:30 - 16:30
08:30 - 16:30
Learning Track
This course is part of the following learning track(s) and can be booked as a stand-alone training or as part of a whole:
ESCO Occupations
Your trainer(s) for this course
