luke-davidson Goto Github PK

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.

timeseriesmotionclassification

Semester project for my Machine Learning course: Classification of human motion through custom time series positional data shapelet transformations.

tradingbot_q-learning_dqn

Semester project for my Reinforcement Learning course: Learning trading policies via Q-learning and Deep Q-learning Networks (DQNs).