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jainnitk's Projects

bayesboost icon bayesboost

Bayesian Optimization using xgboost and sklearn API

bci-challenge-ner-2015 icon bci-challenge-ner-2015

Code and documentation for the winning solution to the BCI Challenge @ NER 2015 : https://www.kaggle.com/c/inria-bci-challenge

black-boxxy icon black-boxxy

Some experiments into explaining complex black box ensemble predictions.

courses icon courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

cs228-notes icon cs228-notes

Course notes for CS228: Probabilistic Graphical Models.

cse515t icon cse515t

Materials for Bayesian Methods in Machine Learning Course

datasci_course_materials icon datasci_course_materials

Public repository for course materials for the Spring 2013 session of Introduction to Data Science, an online coursera course.

decmeg2014 icon decmeg2014

Code and documentation for the winning solution to the DecMeg2014 challenge https://www.kaggle.com/c/decoding-the-human-brain

deep-learning-drizzle icon deep-learning-drizzle

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

deeplearningproject icon deeplearningproject

An in-depth machine learning tutorial introducing readers to a whole machine learning pipeline from scratch.

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