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sispub
courses
machinelearning-introduction-workshop
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3e89156c
"git@sissource.ethz.ch:sispub/openbis.git" did not exist on "0dc9182b77f80b571e2d414aff75f17a806ea05b"
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3e89156c
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6 years ago
by
chadhat
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# Course structure
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Two days workshop, 1.5 days workshop + .5 day working on own data / prepared data.
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Every part below includes a coding session using Jupter notebooks.
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Every part below includes a coding session using Jup
y
ter notebooks.
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Coding sessions provide code frames which should be completed.
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We provide solutions.
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## Part 0: Preparation
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Quick basics matplotlib, numpy, pandas?
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Quick basics matplotlib, numpy, pandas?
### Coding session
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## Part 6: Overview classifiers
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Ne
igh
rest neighbours
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Ne
a
rest neighbours
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SVMs
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demo for RBF: different parameters influence on decision line
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Random forests
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