Projects

Deep Learning

Tools: Keras, Tensorflow, OpenCV, Pandas, Numpy, Matplotlib
Environment: GPU computing (cuDNN) – AWS EC2 Deep Learning AMI with Source Code (CUDA 8, Ubuntu)
Languages: Python
Concepts: Neural Networks, Convolutional Neural Networks, Recurrent Neural Networks, Transfer Learning

  • Dog Breed Classification
  • IMDB movie reviews sentiment classification
  • Daily Bike Rental Ridership Prediction
  • Author Identification
  • Statoil/C-CORE Iceberg Classifier Challenge

 

Machine Learning

Tools: Scikit-learn, Pandas, Numpy, Matplotlib, Tableau, SPSS
Languages: Python, C++
Concepts: Support Vector Machines, Random Forests

  • Detect Underserved Areas of Mental Health Disease (1st prize – Indiana Medicaid Data Challenge)
  • Identification and Localization of Siren Signals
  • Classifying Single-Cell Types from Mouse Brain RNA-Seq Data
  • Handwritten Digit Classification
  • Protein Sequence Feature Identification
  • Heart Disease Analysis

 

Reinforcement Learning

Tools: RL-Glue
Languages: Python, C++
Concepts: Sarsa, Expected Sarsa, Q-Learning, Dyna-Q, Dyna-Q+

  • A Comparative Study of Reinforcement Learning Agents on Non-Stationary Bus Schedule

 

Timeline

Project Document Code Date
Deep Learning: Dog Breed Classification GitHub Mar 2018
Deep Learning: IMDB Movie reviews sentiment classification GitHub Mar 2018
Deep Learning1: Daily Bike Rental Ridership Prediction GitHub Mar 2018
Kaggle Competitions:
Author Identification &
Statoil/C-CORE Iceberg Classifier Challenge
Pdf GitHub Dec 2017
Mental Health Disease: Underserved Areas
(1st prize – Indiana Medicaid Data Challenge)
Tableau Oct 2017
A Comparative Study of Reinforcement Learning
Agents on Non-Stationary Bus Schedule
Pdf GitHub May 2017
Identification and Localization of Siren Signals Pdf GitHub May 2017
Classifying Single-Cell Types from Mouse Brain
RNA-Seq Data using Machine Learning Algorithms
Pdf GitHub May 2017
Handwritten Digit Classification Blog Page Dec 2016
Protein Sequence Feature Identification Jun 2016
Heart Disease Analysis GitHub Dec 2015