David Currie's repositories
Predicting-Credit-Card-Fraud
Used TensorFlow to build a neural network that can predict fraudulent credit card transactions.
Artificial-Intelligence-Nanodegree
The projects that I completed for my Artificial Intelligence Nanodegree - Udacity
Currie32.github.io
My Professional Website
Face-Generation
Built a generative adversarial network to create new faces.
Language-Translation
Built a sequence-to-sequence model to translate text from English to French.
Tweet-Like-Trump
A one2seq model that can generate tweets similar to those of Donald Trump.
tensorflow
Computation using data flow graphs for scalable machine learning
Generating-The-Simpsons-Scripts
Built a recurrent neural network using TensorFlow to generate scripts for 'The Simpsons.'
Predicting-Similar-Questions
Used TfidfVectorizer, Doc2Vec, and deep learning to predict if pairs of questions have the same meaning.
Comparing-Books
Used Word2Vec and Doc2Vec to compare Project Gutenberg's 20 Most Popular Books
Detecting-Fish-Kaggle
Built two models, with Keras, to detect which type of fish is in an image.
How-Bilingual-Is-Canada
Created an interactive map and graph to show where Canadians speak English, French, or neither of the two official languages.
Santander-Product-Recommendation
My submission for the "Santander Product Recommendation" Kaggle Competition.
Text-Generation-Charles-Dickens
Improved Udacity's character-wise RNN to generate text similar to that of Charles Dickens.
deep-learning
Repo for the Deep Learning Nanodegree Foundations program.
First-Neural-Network
Used Numpy to build a Neural Network to predict daily ridership of a bike sharing service.
AirBnB-Predicting-Destination
Used TensorFlow to build a neural network that can predict which country a new AirBnB user will book their first trip to.
keras-quora-question-pairs
A Keras model that addresses the Quora Question Pairs dyadic prediction task.
Student-Alcohol-Abuse
Two analyses and classification models to predict students' level of alcohol abuse.
Hong-Kong-Marathon
An short exploratory analysis of the 2016 Hong Kong Marathon.
500-Greatest-Albums
Exploring Rolling Stone Magazine's list of "The 500 Greatest Albums of All Time."
Predicting-Allstate-Claims-Severity
My submission for Kaggle's "Allstate Claims Severity" competition.
Predicting-Housing-Prices
My submission for the "House Prices: Advanced Regression Techniques" Kaggle competition.
Water-Pumps-DrivenData
My submission for the "Pump it Up: Data Mining the Water Table" hosted by DrivenData.
Titanic-Kaggle-Competition
My analysis for the 'Titanic: Machine Learning from Disaster' competition, hosted by Kaggle.com
Udacity-AB-Test
An A/B test I designed in my Data Analyst Nanodegree from Udacity.
Rookie-Of-The-Year-Baseball
A statistical analysis of 'Rookie of the Year' winners in baseball.
OpenStreetMap-London
OpenStreetMap data about London, UK that I cleaned and analyzed, as part of my Data Analyst Nanodegree from Udacity.
Analyzing-Red-Wine
Performed Exploratory Data Analysis using R to determine which inputs have the greatest affect on the quality of wine; part of my Data Analyst Nanodegree from Udacity
Stroop-Effect
Analyzed the statistical significance of a Stroop Effect, as part of my Data Analyst Nanodegree.