jamesfcoffey Goto Github PK

aind-nlp

Coding exercises for the Natural Language Processing concentration, part of Udacity's AIND program.

aind-vui-lab-voice-data

boston_housing

Built a model to predict the value of a given house in the Boston real estate market using various statistical analysis tools.

courseproject

The code is good for analyzing the causal relationship between temporal text topics and external time-series data using Granger causality and probabilistic latent semantic analysis (PLSA). Ideal for applications such as financial market analysis, election outcome predictions, and social trend tracking.

customer_segments

Unsupervised learning techniques applied on product spending data collected for customers of a wholesale distributor in Lisbon, Portugal to identify customer segments hidden in the data.

dog_app

Built an algorithm to identify canine breed given an image of a dog. If given image of a human, the algorithm identifies a resembling dog breed.

face_generation

Use a DCGAN on the CelebA dataset to generate images of novel and realistic human faces.

finding_donors

Trained and tested several supervised machine learning models on preprocessed census data to predict the likelihood of donations.

iceberg-or-ship-cnn-classifier

Convolutional Neural Network (CNN) model that automatically identifies whether a target sensed by satellite radar is a ship or iceberg.

katana

malware-detection-ml-pipeline

movierecommender

narrative-visualization-project

Narrative Visualization Project for CS 498: Data Visualization at the University of Illinois at Urbana-Champaign

neo4j_gcn_mutag

Simple file hosting for a Medium article.

robond-kinematics-project

Pick and Place project for RoboND Term 1

robond-perception-exercises

Perception Exercises for Robotics

robond-perception-project

3D Perception project for the Robotics Nanodegree Program

robond-rover-project

Project repository for the Unity rover search and sample return project.

rtr-document-qa

This is a retrieve-then-read document question answering application.

sentiment_network

Sentiment Prediction RNN Exercise for Udacity Deep Learning Nanodegree

smartcab

I applied reinforcement learning to build a simulated vehicle navigation agent.

tech_review

Discuss the improvements and design decisions from GPT, through GPT-2, and GPT-3. Compare approach to other competing approaches.

titanic_survival_exploration

I created decision functions that attempt to predict survival outcomes from the 1912 Titanic disaster based on each passenger’s features.

tv-script-generation

A Udacity Project that uses RNNs to generate Simpsons TV scripts.