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Fighting the Flu with Machine Learning
--client
big_apple_py
--show
pygotham_2016
--room Room_CR5 11066 --force
Next: 11 Anomaly Detection Algorithms and Techniques for Real-World Detection Systems
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Marks
Author(s):
Rohan Koodli
Location
Room CR5
Date
jul Sat 16
Days Raw Files
Start
17:00
First Raw Start
15:59
Duration
00:25:00
Offset
1:00:34
End
17:25
Last Raw End
16:59
Chapters
00:00
0:18:56
Total cuts_time
20 min.
https://2016.pygotham.org/talks/323/fighting-the-flu-with-machine-learning
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Everyone despises falling sick. In this talk, I will present how I used Python and machine learning to predict future sequences of the flu. My Random Forests model learns patterns in how the flu mutates from previous flu seasons, and creates decision trees based on those inferences. I will also cover how using a library (scikit-learn) was much easier and accurate than creating a Random Forests Classifier.
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production notes
2016-07-16/15_59_26.ts
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15:59:26
seconds: 663.97227
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seconds: 691.0
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seconds: 0.0
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Duration
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seconds: 76.942958
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