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jphall663
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interpretable_machine_learning_with_python
Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.
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Bump scikit-learn from 0.19.1 to 1.5.0
#15
dependabot[bot]
opened
3 weeks ago
0
Bump numpy from 1.16.0 to 1.22.0
#14
dependabot[bot]
opened
2 years ago
0
Updated Readme
#13
sparsh999gupta
closed
3 years ago
1
Glm mgbm gbm
#12
jphall663
closed
4 years ago
0
h2o in dockerfile is out of date
#11
jphall663
closed
4 years ago
2
404 on all O'Reilly links
#10
pysr1
closed
4 years ago
3
Add adverse impact ratio for dia.ipynb
#9
jphall663
closed
5 years ago
0
Ph add errors
#8
jphall663
closed
4 years ago
1
O'Reilly Safari videos not working
#7
sayakpaul
closed
5 years ago
2
Ph add errors
#6
jphall663
closed
5 years ago
1
dia draft
#5
jphall663
closed
5 years ago
0
Issue with Graphviz
#4
mananshukla6
closed
4 years ago
7
Please post the slides from Youtube video https://www.youtube.com/watch?v=Q8rTrmqUQsU
#3
wnmills3
closed
5 years ago
1
docker run command missing allow root parameter
#2
aosama
closed
5 years ago
1
scaling wip
#1
jphall663
closed
5 years ago
0