Currie32/Identify-Fraud-From-Enron Currie32/Identify-Fraud-From-Enron

  • Stars
    star
    2
  • Language
    Python
  • Created about 8 years ago
  • Updated over 7 years ago
Twitter logo Share LinkedIn logo Share Facebook logo Share
Currie32/Identify-Fraud-From-Enron
github

Currie32

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

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

More Repositories

1

Text-Summarization-with-Amazon-Reviews

A seq2seq model that can generate summaries from fine food reviews on Amazon.
HTML
225
star
2

Spell-Checker

A seq2seq model that can correct spelling mistakes.
Jupyter Notebook
212
star
3

Chatbot-from-Movie-Dialogue

Built a simple chatbot from a sequence-to-sequence model with TensorFlow.
HTML
147
star
4

Movie-Reviews-Sentiment

Used two different methods to predict the sentiment (positive or negative) of movie reviews.
HTML
55
star
5

Predicting-the-Dow-Jones-with-Headlines

Used Keras to build a model (CNNs + LSTMs) to predict the opening price change of the Dow Jones.
HTML
36
star
6

500-Greatest-Albums

Exploring Rolling Stone Magazine's list of "The 500 Greatest Albums of All Time."
HTML
16
star
7

Predicting-Credit-Card-Fraud

Used TensorFlow to build a neural network that can predict fraudulent credit card transactions.
Jupyter Notebook
11
star
8

Titanic-Kaggle-Competition

My analysis for the 'Titanic: Machine Learning from Disaster' competition, hosted by Kaggle.com
HTML
8
star
9

Predicting-Similar-Questions

Used TfidfVectorizer, Doc2Vec, and deep learning to predict if pairs of questions have the same meaning.
HTML
6
star
10

Tweet-Like-Trump

A one2seq model that can generate tweets similar to those of Donald Trump.
HTML
6
star
11

Artificial-Intelligence-Nanodegree

The projects that I completed for my Artificial Intelligence Nanodegree - Udacity
Jupyter Notebook
5
star
12

Bike-Sharing-in-SF-and-Seattle

An analysis of the bike sharing services in San Francisco and Seattle.
HTML
5
star
13

NYC-Taxi-Trip-Duration

My work for Kaggle's "New York City Taxi Trip Duration" competition
Jupyter Notebook
5
star
14

neuroblastoma_gene_signature

Validate a gene signature for evaluating the survival of patients with neuroblastoma.
R
3
star
15

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.
HTML
3
star
16

bioinformatics

Small projects related to bioinformatics
HTML
1
star
17

Language-Translation

Built a sequence-to-sequence model to translate text from English to French.
HTML
1
star
18

cooking-with-ingles

JavaScript
1
star
19

First-Neural-Network

Used Numpy to build a Neural Network to predict daily ridership of a bike sharing service.
HTML
1
star
20

Face-Generation

Built a generative adversarial network to create new faces.
HTML
1
star
21

nf-core-spatialtranscriptomicsgeomx

Jupyter Notebook
1
star
22

Comparing-Books

Used Word2Vec and Doc2Vec to compare Project Gutenberg's 20 Most Popular Books
HTML
1
star