Introductory Machine Learning tutorial in which we will review the main concepts associated with an algorithm: learning, training, predictions... We will see how algorithms are classified and their main families, performing training and prediction examples with the Scikit-Learn library.
Content
- Presentation
- Learning
- Algorithms
- Nomenclature
- Classification of algorithms
- Data sets
- Data preprocessing
- Optimizing a model
- Supervised algorithms
- Unsupervised algorithms
