ramasravani Goto Github PK
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Data Science Labs R package: includes functions and data for data science courses
Fake news detection
The fastai deep learning library, plus lessons and tutorials
In this course, you'll get a big-picture view of using SQL for big data, starting with an overview of data, database systems, and the common querying language (SQL). Then you'll learn the characteristics of big data and SQL tools for working on big data platforms. You'll also install an exercise environment (virtual machine) to be used through the specialization courses, and you'll have an opportunity to do some initial exploration of databases and tables in that environment. By the end of the course, you will be able to • distinguish operational from analytic databases, and understand how these are applied in big data; • understand how database and table design provides structures for working with data; • appreciate how differences in volume and variety of data affects your choice of an appropriate database system; • recognize the features and benefits of SQL dialects designed to work with big data systems for storage and analysis; and • explore databases and tables in a big data platform. To use the hands-on environment for this course, you need to download and install a virtual machine and the software on which to run it. Before continuing, be sure that you have access to a computer that meets the following hardware and software requirements: • Windows, macOS, or Linux operating system (iPads and Android tablets will not work) • 64-bit operating system (32-bit operating systems will not work) • 8 GB RAM or more • 25GB free disk space or more • Intel VT-x or AMD-V virtualization support enabled (on Mac computers with Intel processors, this is always enabled; on Windows and Linux computers, you might need to enable it in the BIOS) • For Windows XP computers only: You must have an unzip utility such as 7-Zip or WinZip installed (Windows XP’s built-in unzip utility will not work)
The https://freeCodeCamp.org open source codebase and curriculum. Learn to code for free together with millions of people.
Build blazing fast, modern apps and websites with React
A simple demo repository to show the basic Git workflow
The Open Source Data Science Masters
Course materials for Georgia Tech CS 4650 and 7650, "Natural Language"
170+ solutions to Hackerrank.com practice problems using Python 3 and Oracle SQL
Mirror of Apache Hadoop
Example source code accompanying O'Reilly's "Hadoop: The Definitive Guide" by Tom White
'Hadoop illuminated' hadoop book
Python tools for healthcare machine learning
The Hitchhiker's Guide to Data Science for Social Good
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
A curated list of applied machine learning and data science notebooks and libraries across different industries.
:globe_with_meridians: Jekyll is a blog-aware static site generator in Ruby
Code for "Jukebox: A Generative Model for Music"
Repository for sharing the knowledge from the learning path of Kaggle Learning. All contributions welcome :).
Kepler.gl is a powerful open source geospatial analysis tool for large-scale data sets.
This is the Curriculum for "Learn Computer Science in 5 Months" By Siraj Raval on Youtube
This is the Curriculum for "Learn Data Science in 3 Months" By Siraj Raval on Youtube
This is the Curriculum for "Learn Deep Learning in 6 Weeks" by Siraj Raval on Youtube
This is the code for "Learn Machine Learning in 3 Months" by Siraj Raval on Youtube
This is the Curriculum for "How to Learn Mathematics Fast" By Siraj Raval on Youtube
Oxford Deep NLP 2017 course
Algorithms course materials for the Lede program at Columbia Journalism School
Application of Locality Sensitive Hashing to Audio Fingerprinting
:speech_balloon: Machine Learning Course with Python
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.