Arina's repositories
wiki-clickstream-graph
Wikipedia clickstream data exploration using network analysis
amazon-redshift-udfs
A collection of example UDFs for Amazon Redshift.
data-science-notes
Notes on data science, with code examples.
python-examples
Python code examples and snippets.
reddit-askdocs-analysis
An exploratory analysis of the /AskDocs subreddit.
census-income-associations
Exploration of associations between socioeconomic factors and income level
content
The content behind MDN Web Docs
cookiecutter-data-science
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
faers_app
An app for exploring FDA Adverse Events Reporting System (FAERS) data
FAERS_graph
FAERS graph
freeCodeCamp
The https://freeCodeCamp.org open source codebase and curriculum. Learn to code for free together with millions of people.
herbari
Herbari Wordpress theme
JavaScript30
30 Day Vanilla JS Challenge
neo4j-flask
Flaskr Extended with Neo4j and Py2neo.
pandas_exercises
Practice your pandas skills!
project_fletcher
project Fletcher
project_luther
Project Luther for Metis: StackOverflow survey prediction with Wikipedia activity
project_mcnulty
Analysis of SPLASH study data on humpack whale migrations in the Northern Pacific during 2004-2006
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.
study-me-science
StudyMe.Science rails app
ThinkStats2
Text and supporting code for Think Stats, 2nd Edition
trackers-analysis
Health trackers data analysis
Watch-Me-Build-a-Trading-Bot
This is the code for "Watch Me Build a Trading Bot" by Siraj Raval on Youtube