James Coffey
Aspiring Polymath
James Coffey
Aspiring Polymath
Python
HTML
Jupyter Notebook
I am a Materials Engineer undergoing a career change to a Machine Learning Engineer with experience in collecting test results, understanding how errors are introduced into data sets, and in handling complex projects. I am on a mission to bring Deep Learning to the most extreme AI problem domains.
I learned to program from Udacity's Nanodegree programs which got me coding with lots of graded projects.
I enjoy using deep learning algorithms to bring amazing intelligence to computers and have them perform amazing tasks!
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Convolutional Neural Network (CNN) model that automatically identifies whether a target sensed by...
HTML, Jupyter Notebook
Built a model to predict the value of a given house in the Boston real estate market using variou...
HTML, Jupyter Notebook
Unsupervised learning techniques applied on product spending data collected for customers of a w...
HTML, Jupyter Notebook
Built an algorithm to identify canine breed given an image of a dog. If given image of a human, t...
HTML, Jupyter Notebook, Python
Use a DCGAN on the CelebA dataset to generate images of novel and realistic human faces.
HTML, Jupyter Notebook
Trained and tested several supervised machine learning models on preprocessed census data to pred...
Jupyter Notebook
Convolutional Neural Network (CNN) model that automatically identifies whether a target sensed by...
Jupyter Notebook
Sentiment Prediction RNN Exercise for Udacity Deep Learning Nanodegree
HTML, Jupyter Notebook, Python
I applied reinforcement learning to build a simulated vehicle navigation agent.
HTML, Jupyter Notebook
I created decision functions that attempt to predict survival outcomes from the 1912 Titanic disa...
HTML, Jupyter Notebook, Python
A Udacity Project that uses RNNs to generate Simpsons TV scripts.