Jason Quick

Self-Driving Engineer Car Nanodegree

My solution to the Udacity Self-Driving Car Engineer Nanodegree Traffic Sign Classifier project.

TensorFlow code and pre-trained models for BERT

How severe is an insurance claim?

2nd Place Solution 💰🥈

2nd Place Solution 💰🥈

Built and trained Machine Learning model with XGBoost to predict Russian housing prices. Ranked Top 1% (2nd of 952).

Built and trained Deep Learning model to automate the population count for the endangered Steller Sea Lions. Ranked Top 20% (27th of 137).

Bike Sharing (MLP) -- Udacity DLND

Models built with TensorFlow

Dog Breed Classifier (CNN) -- Udacity DLND

Machine Learning Engineer Nanodegree

Boston Housing Prices -- Udacity MLND

Creating Customer Segments -- Udacity MLND

Finding Charity Donors -- Udacity MLND

Deep Learning Engineer Nanodegree

Generate TV Scripts (RNN) -- Udacity DLND

Generate Faces (GAN) -- Udacity DLND

My solution to the Udacity Self-Driving Car Engineer Nanodegree Advanced Lane Lines project.

My solution to the Udacity Self-Driving Car Engineer Nanodegree Behavioral Cloning project.

Kaggle Competition Projects

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

My solution to the Udacity Self-Driving Car Engineer Nanodegree Vehicle Detection and Tracking project.

Tools for Sensor Fusion processing.

Predict stock movement with Machine Learning and Deep Learning algorithms

Project materials for RNN segment of AIND nanodegree

No description provided.

AIND Term 2 -- Lesson on Convolutional Neural Networks

Jupyter notebook exercise to check your understanding of simulated annealing

Starter project code for students taking Udacity ud120