Explainable ML
An Interpreter for a Random Forest Classifier
Understanding the feature contribution and why a Random Forest Classifier predicts what it predicts.
Email: srth21@gmail.com
Phone: +91 8310431279
Hyderabad
July 2019 - Current
Tokyo
July 2018 - September 2018
Bangalore
March 2017 - August 2017
Bangalore
2015 - 2019
Bangalore
2013 - 2015
Bangalore
2012 - 2013
A class of neural networks where the training process for the learning function and the explanation are done during the same training process.
Understanding the feature contribution and why a Random Forest Classifier predicts what it predicts.
A Daily Activity Manager for people affected with Alzheimer’s. Helps with issues such as daily reminders, vitals tracking and personal assistance.
By capturing the video of someone watching a video and analyzing it, to be able determine their reaction to the video.