Pinned Repositories
105-project
A test repo.
accelerate
amazon-redshift-udfs
A collection of example UDFs for Amazon Redshift.
data-science-notes
Notes on data science, with code examples.
FAERS_graph
FAERS graph
reddit-askdocs-analysis
An exploratory analysis of the /AskDocs subreddit.
stocks_ml
Analyzing stocks with machine learning
wiki-clickstream-graph
Wikipedia clickstream data exploration using network analysis
33eyes's Repositories
33eyes/wiki-clickstream-graph
Wikipedia clickstream data exploration using network analysis
33eyes/FAERS_graph
FAERS graph
33eyes/stocks_ml
Analyzing stocks with machine learning
33eyes/accelerate
33eyes/amazon-redshift-udfs
A collection of example UDFs for Amazon Redshift.
33eyes/data-science-notes
Notes on data science, with code examples.
33eyes/python-examples
Python code examples and snippets.
33eyes/reddit-askdocs-analysis
An exploratory analysis of the /AskDocs subreddit.
33eyes/census-income-associations
Exploration of associations between socioeconomic factors and income level
33eyes/content
The content behind MDN Web Docs
33eyes/cookiecutter-data-science
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
33eyes/dsp
Metis Data Science Bootcamp - Official Prework Repository
33eyes/faers_app
An app for exploring FDA Adverse Events Reporting System (FAERS) data
33eyes/freeCodeCamp
The https://freeCodeCamp.org open source codebase and curriculum. Learn to code for free together with millions of people.
33eyes/herbari
Herbari Wordpress theme
33eyes/JavaScript30
30 Day Vanilla JS Challenge
33eyes/MTAProject1Best
33eyes/neo4j-flask
Flaskr Extended with Neo4j and Py2neo.
33eyes/old_website
33eyes/outreachy
33eyes/pandas_exercises
Practice your pandas skills!
33eyes/project_fletcher
project Fletcher
33eyes/project_luther
Project Luther for Metis: StackOverflow survey prediction with Wikipedia activity
33eyes/project_mcnulty
Analysis of SPLASH study data on humpack whale migrations in the Northern Pacific during 2004-2006
33eyes/stockpredictionai
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
33eyes/study-me-science
StudyMe.Science rails app
33eyes/ThinkStats2
Text and supporting code for Think Stats, 2nd Edition
33eyes/trackers-analysis
Health trackers data analysis
33eyes/voynich
for the voynichers at metis nyc18_ds14
33eyes/Watch-Me-Build-a-Trading-Bot
This is the code for "Watch Me Build a Trading Bot" by Siraj Raval on Youtube