Training objectives
At the end of the training, the trainee will be able to:
Upon completion of the training, the participant will be able to:
- Apply machine learning algorithms
- Identify the limitations of machine learning
- Measure the reliability of a model
- Compare different algorithms
Prerequisites
To effectively follow this training, participants must have:
A solid command of Python: Understanding of data structures (lists, dictionaries, etc.), functions, modules, classes, and object-oriented programming.
Knowledge of mathematics: Concepts of statistics (mean, variance, correlation), linear algebra (matrices, vectors), and probability.
A curiosity for data analysis: Interest in data manipulation and interpretation.
