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Name: Aman
Type: User
Name: Aman
Type: User
Trial Repo
Config files for my GitHub profile.
We aim to provide a framework of interactive user application in Android with its real time implementation in demo version of an virtual BigBazaar . The project does so by using Google’s C2DM service (Cloud to Device Messaging it is available in Android 2.2 & above), Application server (Authenticated by Google server with unique Auth ID) maintained by the shopping mall manager and application installed on device. The application registers itself to get updates from application server at C2DM server. Using our application, the user can browse floor plans, run various searches, get live updates from retailers, rate the product, get offers and other important data. The beauty to the application is added by using data mining to show user the events or products that user would like to checkout. Currently, few applications have been made in this context like ShopDroid, Shop Savvy, etc. When the application is installed Service starts in the device which receives the pushed notifications from application server. The application uses pushing concept for sending the notification hence battery life and the performance of the device is not affected (or degraded).On receiving notification the device can send request for the new data from application server. In our implemented design, the entire database comes with application (SQLite) and runtime information, the registration ID (that is generated by C2DM server) of application are stored on application server. The design addresses the problems in mall management of communicating updates and to the target audience, provide very interactive and easy to use application.
Tree View for Twitter Bootstrap -
Sample code for the Microsoft Cognitive Services Speech SDK
This contains examples that I created for my data visualization course.
We will learn about how to structure the data projects, for productionizing your Data Science & ML work. This is Part 1
Document classification test from HeavyWater
Python library to do common data exploring tasks
A robot powered training repository :robot:
Notebooks, resources and references accompanying the book Machine Learning for Algorithmic Trading
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A robot powered training repository :robot:
Implementations of Machine Learning and Data Science Methods in Politics.
For this project, we were tasked with predicting whether a customer would click on a given ad. Looking at the original data, we had 32 million instances consisting of 24 anonimized variables designating various categories.
A complete daily plan for studying to become a machine learning engineer.
Machine Learning Problem from Pluralsight.
For this project we used AWS eco-system to manage the Amazon reviews data(~50 GB) and do sentiment analysis on the reviews.
Open Source Computer Vision Library
Raw data for direct reference
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.