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.

• 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

• Understand the principles that drive machine learning algorithms
• Apply machine learning algorithms to solve real-world problems

Theoretical presentation
Practical excercises