datacamp course presentation - École Polytechnique
Transcript of datacamp course presentation - École Polytechnique
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DatacampAlexandre Gramfort, Inria
Thomas Moreau, Inria
M2 Datascience course presentation
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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
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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)
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https://www.ramp.studio/
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starting kit (jupyter notebook)
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learderboard
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you submit code & you can learn & collaborate
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Useful prerequisites
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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