johnkordonis14 Goto Github PK
Name: John Kordonis
Type: User
Company: Data Analyst
Location: Athens, Greece
Name: John Kordonis
Type: User
Company: Data Analyst
Location: Athens, Greece
A simple example application that will connect to the Twitter API, run a search, gather tweets, and then calculate the sentiment of each Tweet using AlchemyAPI's text analysis functions for sentiment analysis.
Stock market prediction is the method of trying to determine the future value of publically listed company stock traded on an exchange. The successful prediction of a stock's future price could yield significant profit. Stock market prediction is one of the most important issues to be investigated. Quarrying tweets and time series concurrently, such as predicting the movements of stock prices based on the content of Twitter corpus, is an emerging topic in Machine Learning.
:books: List of awesome university courses for learning Computer Science!
:memo: An awesome Data Science repository to learn and apply for real world problems.
A curated list of awesome Deep Learning tutorials, projects and communities.
A curated list of awesome Machine Learning frameworks, libraries and software.
Interactive Web Plotting for Python
Caffe: a fast open framework for deep learning.
Caravel is a data exploration platform designed to be visual, intuitive, and interactive
A JavaScript visualization library for HTML and SVG.
Ipython notebook presentations for getting starting with basic programming, statistics and machine learning techniques
Open Source Data Science Resources.
Deep learning in Python
Python Data. Leaflet.js Maps.
Introduction to Machine Learning and Azure Machine Learning Services. Hands on labs to show Azure Machine Learning features, developing experiments, feature engineering, R and Python Scripting, Production stage, publishing models as web service, RRS and BES usage
Converts JSON files to CSV (pulling data from nested structures). Useful for Mongo data
:leaves: JavaScript library for mobile-friendly interactive maps
Open Content for self-directed learning in data science
Sentiment Analysis using tweepy,NLTK and Textblob
R scripts describing several options to do twitter analysis in R
Minimal and clean examples of machine learning algorithms
Deep Learning framework for Julia
D3 Renderings of Matplotlib Graphics
A stocks plotter to visualize multiple stocks in the same chart, with separated y axes.
Pull Twitter feeds and score sentiment of tweets; then use training set to classify tweets. Also visualize the frequency of unigrams, bigrams and other ngrams, as well as stemming & lemmatization effects. Much of this is a focus on feature engineering
mapping tweets real time using the streaming location api
Tutorial on scikit-learn and IPython for parallel machine learning
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.