abangadji Goto Github PK
Name: Anggara Aji Saputra
Type: User
Company: @Qtasnim
Twitter: Anggaraadji_s
Location: South Sumatera, Indonesia
Blog: abangadji.wordpress.com
Name: Anggara Aji Saputra
Type: User
Company: @Qtasnim
Twitter: Anggaraadji_s
Location: South Sumatera, Indonesia
Blog: abangadji.wordpress.com
Minimize forecast errors by developing an advanced booking model using Python
A webview integrated w/ native features to help create most advanced hybrid applications.
A curated list of amazingly awesome repository created and contributed by Indonesian people.
Python notebook with solutions for the lecture Big Data Analytics
Material for the Big Data Analytics exercise classes - INFOH515 - Big Data : Distributed Data Management and Scalable Analytics - Université Libre de Bruxelles
Automatically exported from code.google.com/p/candralabcms
CEBD-1260 Big Data Analytics Course
:mortar_board: Path to a free self-taught education in Computer Science!
Aplikasi MADM dengan Metode TOPSIS untuk Kasus Pemilihan Lokasi Gudang
Set up a modern web app by running one command.
Slides, code and more for my class: Data Analytics and Machine Learning on Big Data
In tune with conventional big data and data science practitioners’ line of thought, currently causal analysis was the only approach considered for our demand forecasting effort which was applicable across the product portfolio. Experience dictates that not all data are same. Each group of data has different data patterns based on how they were sold and supported over the product life cycle. One-methodology-fits-all is very pleasing from an implementation of view. On a practical ground, one must consider solutions for varying needs of different product types in our product portfolio like new products both evolutionary and revolutionary, niche products, high growth products and more. With this backdrop, we have evolved a solution which segments the product portfolio into quadrants and then match a series of algorithms for each quadrant instead of one methodology for all. And technology stack would be simulated/mocked data(Hadoop Ecosystem) > AzureML with R/Python > Zeppelin.
:books: Freely available programming books
Grupo Bimbo inventory demand Kaggle competition
Menyediakan webservice dan repositori data Indonesia yang nantinya dapat digunakan oleh pemrogram
Instacart Market Basket Analysis
Free Ionic Restaurant | Online Food Ordering Mobile App.
Automatically exported from code.google.com/p/keuangan-guyub
Kotlin variant for Android Smart WebView. Just a few commits behind.
A PHP framework for web artisans
Manuscript for my book http://leanpub.com/seminggubelajarlaravel
Multi-threaded Sudoku Validator implemented in Java and C.
ActiveRecord implementation for PHP
You can get all manga informations, chapters and mymanga with mangaeden's API using PHP.
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.