Data science is gaining attention impacting many scientific fields and applications. Data science encompasses a large number of topics such as data mining, data wrangling, data visualisation, pattern recognition, or machine learning.
This workshop intends to give an introduction to some of these topics using Python and the PyData ecosystem. It is not a course on deep learning.
Goal: introduce the PyData ecosystem to manipulate, explore, and visualize data.
Introduction to the basics of numpy, pandas, and matplotlib.
Goal: introduce the basics of machine learning using the scikit-learn library.
Get familiar with general principles of machine learning;
Use these principles by using the scikit-learn library on some toy and real-world data examples.
The 2-day workshop is aimed at graduate students and researchers, who have a basic knowledge of Python or have experience in another scientific programming language such as R or Matlab.
Registration is free but mandatory due to limited space (see the link below to register). Registration will close on March 4.
The material can be found on the GitHub page of the Paris-Saclay Center for Data Science. Refer to the README file regarding the information to install the required packages which will be used during the workshop.
This workshop will take place in Inria Saclay Ile-de-France (1 Rue Honoré d'Estienne d'Orves, 91120 Palaiseau, room Grace Hoper.
Loïc Esteve, Alexandre Gramfort, Balazs Kegl, Guillaume Lemaitre, Bartosz Telenczuk, Maria Telenczuk, Joris Van den Bossche, Gaël Varoquaux.