Data Science Visualization

Using Plotly for Interactive and Collaborative Data Visualization

Plotly is a collaborative data analysis and graphing platform. Plotly's Scientific Graphing Libraries interface Plotly's online graphing tools with the following scientific computing languages:

• Python
• R
• Matlab
• Julia

You can think of Plotly as "Graphics as a Service". It generates interactive, publication-quality plots that can be embedded in the locaiton of your choice. You can style them locally with code or via the online interface; plots can be shared publicly or privately with a url, and your graphs are accessible from anywhere.

Palladium: Predictive Analytics, Machine Learning framework

https://github.com/ottogroup/palladium

Palladium provides means to easily set up predictive analytics services as web services. It is apluggable framework for developing real-world machine learning solutions. It provides generic implementations for things commonly needed in machine learning, such as dataset loading, model training with parameter search, a web service, and persistence capabilities, allowing you to concentrate on the core task of developing an accurate machine learning model. Having a well-tested core framework that is used for a number of different services can lead to a reduction of costs during development and maintenance due to harmonization of different services being based on the same code base and identical processes. Palladium has a web service overhead of a few milliseconds only, making it possible to set up services with low response times.....