aivancity Paris-Cachan

Classical machine learning algorithms

Algorithmes de machine learning classiques


This module is the second part of the "Data Science and Modeling" certificate. The objective is to get to know and use the fundamental techniques of machine learning and to gauge the impact of such tools in a company.



This course will give you :

  • An in-depth knowledge of the fundamentals of machine learning and its business applications.
  • Technical understanding of the basics of machine learning
  • Concrete experience with machine learning models and their applications to give a new dimension to your company.



  • icone équipe

    Day 1: Clustering methods and classification

    Getting to grips with the fundamentals of machine learning with clustering (data partitioning) and classification algorithms.

    The main concepts covered in this module are: the Scikit-learn library, clustering and classification methods.

  • icone équipe

    Day 2: Regression Methods and Time Series

    Learn how to use regression and time series methods, and then apply them in business.

    The main concepts covered in this module are: regression, time series and data modeling.

  • icone équipe

    Day 3: Business applications of time series

    Experience with time series methods to solve a business problem using machine learning.

    The main concepts covered in this module are: data modeling and time series using Scikit-learn.




Hugo Hadjur

Expertise : Data science

Assistant Professor in IA & Data Science | PhD student at ENS Lyon and aivancity

See his profile


Levente Szabados

Expertise : Data science

Visiting professor in Data science | Lecturer at Frankfurt school of finance & management

See his profile

Classical machine learning algorithms


  • access

    PrerequisiteGood knowledge of mathematical tools (linear algebra, probability, statistics) and programming (Python).

  • diplome

    Location Cachan

  • calendrier

    Duration of the training 4 days

  • calendrier

    Dates February 4, 5, 18 & 19, 2022

  • calendrier

    Price€ 1950 (excl. taxes)