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Type: Organization
Recommender System is an information filtering tool that seeks to predict which product a user will like, and based on that, recommends a few products to the users. For example, Amazon can recommend new shopping items to buy, Netflix can recommend new movies to watch, and Google can recommend news that a user might be interested in. The two widely used approaches for building a recommender system are the content-based filtering (CBF) and collaborative filtering (CF).
The Symfony 5 book source: The Fast Track
Countly helps you get insights from your application. Available self-hosted or on private cloud.
Deploying a simple machine learning model to an AWS ec2 instance using flask and docker.
video streaming with symfony 3.
Hands-On Data Science for Marketing, published by Packt
:book: [译] Sklearn 与 TensorFlow 机器学习实用指南【版权问题,网站已下线!!】
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Fast Python Collaborative Filtering for Implicit Feedback Datasets
The code samples for Learning React by Alex Banks and Eve Porcello, published by O'Reilly Media
Python code for common Machine Learning Algorithms
Modeling non-contractual customer churn in Python
A React TypeScript app which tracks skills used in various projects
Python 3 Object-Oriented Programming – Third Edition, published by Packt
The model recommends a set of books to user based on Machine Learning Techniques
AWS Retail Demo Store is a sample retail web application and workshop platform demonstrating how AWS infrastructure and services can be used to build compelling customer experiences for eCommerce, retail, and digital marketing use-cases
Online Retail II Data (2010-2011)
This repository contains RFM analysis applied to identify customer segments for global retail company and to understand how those groups differ from each other.
Privacy and Security focused Segment-alternative, in Golang and React
A best-practices CSS foundation
:ice_cream: A snack recommendation service (using collaborative filtering), that recommends snacks based on your personal taste and geolocation!
Apache Superset is a Data Visualization and Data Exploration Platform
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.