Training materials
Resource type: hands-on tutorial
and Contributors: David Bouyssié or Jean-François Martin or Kaivan Kamali or Maria Christina Maniou or Michael Parkin
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hands-on tutorial
Hands-on for 'Image classification in Galaxy with fruit 360 dataset' tutorial
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hands-on tutorial
Hands-on for 'Plotting in Python' tutorial
•• intermediatedata-science jupyter-notebook -
hands-on tutorial
Hands-on for 'Introduction to Python' tutorial
• beginnerdata-science jupyter-notebook -
hands-on tutorial
Hands-on for 'Advanced Python' tutorial
•• intermediatedata-science jupyter-notebook -
hands-on tutorial
Mass spectrometry: LC-MS preprocessing with XCMS
•• intermediateMetabolomics -
hands-on tutorial
Hands-on for 'Mass spectrometry: LC-MS analysis' tutorial
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hands-on tutorial
Hands-on for 'Deep Learning (Part 2) - Recurrent neural networks (RNN)' tutorial
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hands-on tutorial
Hands-on for 'Deep Learning (Part 3) - Convolutional neural networks (CNN)' tutorial
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hands-on tutorial
Hands-on for 'Deep Learning (Part 1) - Feedforward neural networks (FNN)' tutorial