Currie32/Movie-Reviews-Sentiment

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Currie32/Movie-Reviews-Sentiment

Currie32

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Used two different methods to predict the sentiment (positive or negative) of movie reviews.

Text-Summarization-with-Amazon-Reviews

A seq2seq model that can generate summaries from fine food reviews on Amazon.

Spell-Checker

A seq2seq model that can correct spelling mistakes.

Jupyter Notebook

Chatbot-from-Movie-Dialogue

Built a simple chatbot from a sequence-to-sequence model with TensorFlow.

Predicting-the-Dow-Jones-with-Headlines

Used Keras to build a model (CNNs + LSTMs) to predict the opening price change of the Dow Jones.

500-Greatest-Albums

Exploring Rolling Stone Magazine's list of "The 500 Greatest Albums of All Time."

Predicting-Credit-Card-Fraud

Used TensorFlow to build a neural network that can predict fraudulent credit card transactions.

Jupyter Notebook

Titanic-Kaggle-Competition

My analysis for the 'Titanic: Machine Learning from Disaster' competition, hosted by Kaggle.com

Predicting-Similar-Questions

Used TfidfVectorizer, Doc2Vec, and deep learning to predict if pairs of questions have the same meaning.

Tweet-Like-Trump

A one2seq model that can generate tweets similar to those of Donald Trump.

Artificial-Intelligence-Nanodegree

The projects that I completed for my Artificial Intelligence Nanodegree - Udacity

Jupyter Notebook

Bike-Sharing-in-SF-and-Seattle

An analysis of the bike sharing services in San Francisco and Seattle.

NYC-Taxi-Trip-Duration

My work for Kaggle's "New York City Taxi Trip Duration" competition

Jupyter Notebook

neuroblastoma_gene_signature

Validate a gene signature for evaluating the survival of patients with neuroblastoma.

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.

Identify-Fraud-From-Enron

Used machine learning to predict which Enron employees committed fraud; as part of my Data Analyst Nanodegree from Udacity.

bioinformatics

Small projects related to bioinformatics

Language-Translation

Built a sequence-to-sequence model to translate text from English to French.

cooking-with-ingles

First-Neural-Network

Used Numpy to build a Neural Network to predict daily ridership of a bike sharing service.

Face-Generation

Built a generative adversarial network to create new faces.

nf-core-spatialtranscriptomicsgeomx

Jupyter Notebook

Comparing-Books

Used Word2Vec and Doc2Vec to compare Project Gutenberg's 20 Most Popular Books