Scikit-learn, the Machine Learning Toolbox for SMEs

Enhance your SME team's skills in machine learning tools.

  • 4 July 2024, 09:00 ‑ 16:30
  • 4 December 2024, 09:00 ‑ 17:30

This beginner-level course covers the basics of machine learning and its implementation using Scikit-Learn. Participants will learn how to load a dataset into Scikit-learn, understand the types of questions that statistical learning can answer, and utilize Scikit-learn to address them. Specifically, the module will cover supervised learning, including model selection and validation. Participants will also explore the detailed assembly of data formatting pipelines and specific models, such as linear models and decision tree ensembles. The course emphasizes practical learning, with participants executing code examples to reinforce their understanding.

Register now

What we offer

  • Understand the benefits of using artificial intelligence for SMEs with real-world use cases.
  • Define the principles and basics of machine learning and different types of model families.
  • Manipulate Scikit-Learn with various datasets.
  • Understand the Scikit-learn processing chain.
  • Evaluate and select Scikit-learn models for optimal performance based on each type of problem.

What you will gain

Practical training focused on application examples with code executed by participants under the guidance of an expert scientist. Topics covered are:

  • Machine Learning
  • Predictive Analysis
  • Data Management
  • Market Segmentation
  • Problem-Solving
  • Key Learnings and Advantages of the Course
  • Proper use of the Scikit-learn library while providing an intuitive understanding of machine learning

The course is for

  • Development Engineers
  • R&D Engineers
  • Data Scientists
  • Data Analysts

Prerequisites

  • Basic programming in Python
  • Familiarity with using Jupyter notebooks is recommended
  • Basic knowledge of Numpy and Pandas is useful

Register now

Lecturer

Dr. Laure Bourgois

Expert in Artificial Intelligence

Biography

Dr Laure Bourgois is an expert in artificial intelligence and numerical simulations, specializing as an engineer-trainer in artificial intelligence. With 20 years of experience in R&D (including roles at Orange Labs, IFSTTAR, etc.) and a diverse range of missions for training organizations and universities, her expertise covers a broad spectrum.

LinkedIn

Scroll up

Co-Funded by the European Union