The main goal of this course is to help students learn, understand, and practice machine learning approaches including supervised, unsupervised learning techniques such as regression models, ANN, Hybrid techniques, SVM and Deep Learning models.
By the end of this cours, students will be able to :
Understand a wide variety of learning algorithms.
Understand how to evaluate models generated from data.
Apply the algorithms to a real-world problem, optimize the models learned and report on the expected accuracy that can be achieved by applying the models.
Note that this course is taught in french. Course slides are prepared using other course materials available in the internet.
24/11/2020 Welcome to the ML course webpage
24/11/2020 Slides of chapters 1 and 2 are available (see slides)
04/10/2021 Liste of projects is available (see Projects)