luke-davidson
Hey! I'm a recent graduate of Northeastern University earning an MS in Robotics, concentrating in Machine Learning. Feel free to check out some of my work!
Pinned Repositories
AWSSQS_pipeline
ComputerVision
Programming assignments completed for my Computer Vision course: Topics include Image Layering, Feature Extracting and Matching, SIFT, Camera Matrix estimations, and Deep Learning (FCNs, ANNs, CNNs).
ControlSystemsEngineering
Assignments completed for my Controls Engineering course: Including MATLAB scripts and process control designs.
MachineLearning
Assignments completed for my Machine Learning course: Topics include probability and statistics proofs, MLE/MAP parameter estimation, EM Algorithm, Bayes Theorem implementations, gradient descent methods, Neural Networks and Deep Learning.
nba_dbt
NBA data analytics and transforms using 2010-2015 player data
PedestrianDetection_SensorFusion
Semester project for my Robotic Sensing and Navigation course: Fusing pedestrian detection outputs from RGB, IR, and LiDAR sensors.
ReceiptScanPredictionModel
Repo holding all files created to create a future monthly receipt scanning prediction regression model.
ReinforcementLearning
Programming assignments completed for my Reinforcement Learning course: Topics include Bandit Algorithms, Dynamic Programming, policy iteration, Monte-Carlo methods, SARSA, Q-Learning, Dyna-Q/Dyna-Q+, gradient control methods, state aggregation methods, and Deep Q-Learning Networks (DQNs).
RoboticSensingAndNavigation
Assignments completed for my Robotic Sensing and Navigation course: Topics include ROS Drivers for GPS and IMU data analyses, UTM localization, RTK GPS, quaternion conversions, Allan Deviation, heading corrections, IMU dead reckoning, IMU localization, SIFT and image stitching.
TradingBot_Q-Learning_DQN
Semester project for my Reinforcement Learning course: Learning trading policies via Q-learning and Deep Q-learning Networks (DQNs).
luke-davidson's Repositories
luke-davidson/PedestrianDetection_SensorFusion
Semester project for my Robotic Sensing and Navigation course: Fusing pedestrian detection outputs from RGB, IR, and LiDAR sensors.
luke-davidson/ReinforcementLearning
Programming assignments completed for my Reinforcement Learning course: Topics include Bandit Algorithms, Dynamic Programming, policy iteration, Monte-Carlo methods, SARSA, Q-Learning, Dyna-Q/Dyna-Q+, gradient control methods, state aggregation methods, and Deep Q-Learning Networks (DQNs).
luke-davidson/ComputerVision
Programming assignments completed for my Computer Vision course: Topics include Image Layering, Feature Extracting and Matching, SIFT, Camera Matrix estimations, and Deep Learning (FCNs, ANNs, CNNs).
luke-davidson/ControlSystemsEngineering
Assignments completed for my Controls Engineering course: Including MATLAB scripts and process control designs.
luke-davidson/RoboticSensingAndNavigation
Assignments completed for my Robotic Sensing and Navigation course: Topics include ROS Drivers for GPS and IMU data analyses, UTM localization, RTK GPS, quaternion conversions, Allan Deviation, heading corrections, IMU dead reckoning, IMU localization, SIFT and image stitching.
luke-davidson/TradingBot_Q-Learning_DQN
Semester project for my Reinforcement Learning course: Learning trading policies via Q-learning and Deep Q-learning Networks (DQNs).
luke-davidson/AWSSQS_pipeline
luke-davidson/MachineLearning
Assignments completed for my Machine Learning course: Topics include probability and statistics proofs, MLE/MAP parameter estimation, EM Algorithm, Bayes Theorem implementations, gradient descent methods, Neural Networks and Deep Learning.
luke-davidson/nba_dbt
NBA data analytics and transforms using 2010-2015 player data
luke-davidson/ReceiptScanPredictionModel
Repo holding all files created to create a future monthly receipt scanning prediction regression model.
luke-davidson/TimeSeriesMotionClassification
Semester project for my Machine Learning course: Classification of human motion through custom time series positional data shapelet transformations.