Datacamp Alexandre Gramfort, Inria Thomas Moreau, Inria M2 Datascience course presentation
DatacampAlexandre Gramfort, Inria
Thomas Moreau, Inria
M2 Datascience course presentation
Objectives• You will put your basic machine learning and data
analysis knowledge to test by:
• solving practical data science problems in scientific or industrial applications and by
• designing data science workflows.
Part 1: Data challenge
Part 2: Team project to build a workflow
Timeline• Full week : November 9 to 13 (except 11)
• Morning: Lectures (workflow, Pandas, feature engineering, hyperparameter search, advanced Python…)
• Afternoon: Labs (presentations, work on data problems)
• Project to build a machine learning problem (deadline in January)
https://www.ramp.studio/
starting kit (jupyter notebook)
learderboard
you submit code & you can learn & collaborate
Useful prerequisites
Evaluation
• Half of your grade will come from the data challenges (performance on leaderboard)
• Selected students will be able to present their solutions to the class, for up to 2/20 bonus grades.
• The other half will come from the team project