hemantkshirsagar8 PSL_VNIT_ML_PROJ issues

hemantkshirsagar8 / PSL_VNIT_ML_PROJ

Research and Implementation on Explainable AI using SHAP architecture.

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Example of Iris Classification using Logistic Regression and implementing SHAP tool

#19 saikarthik3099 closed 4 years ago
1
example of linear regression

#18 sathish2379 closed 4 years ago
1
Added main.py

#17 hemantkshirsagar8 closed 4 years ago
0
Updated repository structure.

#16 hemantkshirsagar8 closed 4 years ago
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Related reading

#15 saurij opened 5 years ago
0
Instructions for code merging.

#14 hemantkshirsagar8 opened 5 years ago
4
SHAP implementation for any real time use-case.

#13 hemantkshirsagar8 opened 5 years ago
0
Meetup 5

#12 hemantkshirsagar8 closed 4 years ago
7
Meetup 4

#11 hemantkshirsagar8 closed 5 years ago
4
Meetup 3

#10 hemantkshirsagar8 closed 5 years ago
8
Meetup 2

#9 hemantkshirsagar8 closed 5 years ago
2
First meetup and initial discussions.

#8 hemantkshirsagar8 closed 5 years ago
2
Explainable AI documentations.

#7 hemantkshirsagar8 opened 5 years ago
0
Creating ML model pipeline, serving for prediction with explainable features and rigorous testing.

#6 hemantkshirsagar8 opened 5 years ago
0
Implement Explainable AI for 'Object detection/classification' over existing and new models.

#5 hemantkshirsagar8 opened 5 years ago
6
Implement Explainable AI for 'Decision trees/Random Forest' over existing and new models.

#4 hemantkshirsagar8 opened 5 years ago
5
Implement Explainable AI for 'Logistic regression' over existing and new models.

#3 hemantkshirsagar8 opened 5 years ago
4
Implement Explainable AI for 'Linear regression' over existing and new models.

#2 hemantkshirsagar8 opened 5 years ago
8
Study and research existing Explainable AI framework also find any new frameworks available.

#1 hemantkshirsagar8 closed 5 years ago
4