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Name: Srini Bhagavathula
Type: User
Name: Srini Bhagavathula
Type: User
Decison Trees, Random Forrests, Ensemble Methods
A awesome list of (large-scale) public datasets on the Internet. (On-going collection)
Supporting content (slides and exercises) for the Addison-Wesley (Pearson) video series covering best practices for developing scalable Spark applications for predictive analytics in the context of a data scientist's standard workflow.
Code for a workshop on statistical interference using computational methods in Python.
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
A set of self paced resources for anyone looking to get into data science. The materials assume an absolute beginner and are intended to prepare students for the Galvanize Data Science interview process: http://www.galvanize.com/courses/data-science/
Start doing data science in minutes
Best practices of using Spark for practicing data scientists in the context of a data scientist’s standard workflow.
Machine learning workshop using Python, pandas, and scikit-learn. The first half of the day covered supervised classification using Logistic Regression and how to use cross validation to evaluate your models . The second half of the day covered unsupervised clustering with Kmeans as well as an overview of the data science process.
The fastai book, published as Jupyter Notebooks
Flight rules for git - a work in progress!
GitBook teaching programming basics with Javascript
A Python powered app that scrapes images from requested URLs and dumps them in scraper's directory.
Python Koans - Learn Python through TDD
Public repository for the Search with Machine Learning course taught by Daniel Tunkelang and Grant Ingersoll. Available at https://corise.com/?utm_source=daniel.
A grouping of Apache Pig examples.
Python notebooks for exercises covered in Stanford statlearning class (where exercises were in R).
Distributed and fault-tolerant realtime computation: stream processing, continuous computation, distributed RPC, and more
Text and supporting code for Think Stats, 2nd Edition
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.