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170: pytest for Data Science and Machine Learning - Prayson Daniel

whatshot 4 snips
Nov 18, 2021
44:58
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1
Introduction
00:00 • 2min
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2
Data Science and Machine Learning
01:39 • 5min
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3
Are You Using Algorithms to Solve Real Worlds Problems?
07:08 • 3min
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4
Data Science and Machine Learning
10:04 • 4min
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5
Machine Learning and Testing
14:10 • 5min
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6
Using Unit Test Is Not Same as Writing Unit Tests
19:31 • 6min
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7
How to Test the Morals of a Product, Right?
25:10 • 4min
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8
Are You Trying to Overcome the Bias?
29:11 • 3min
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9
Isn't It Crazy?
31:48 • 4min
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10
Is the New Model Outperforming the Current Model in Production?
35:32 • 3min
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11
Sophere Testing
38:41 • 3min
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12
Test First - Is That the Right Time?
41:54 • 3min
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Prayson Daniel, a principle data scientist, discusses testing machine learning pipelines with pytest.

Prayson is using pytest for some pretty cool stuff, including:

  • unit tests, of course
  • testing pipeline stages
  • counterfactual testing
  • performance testing

All with pytest. So cool.


Special Guest: Prayson Daniel.


Links:

  • Python Bytes 250, with Prayson Daniel — Listen to this for more of an introduction to Prayson



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