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als-recommender-pyspark

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).

bigdata-ml

book-5.0-4

The Symfony 5 book source: The Fast Track

countly-server

Countly helps you get insights from your application. Available self-hosted or on private cloud.

deploy-ml-model

Deploying a simple machine learning model to an AWS ec2 instance using flask and docker.

e-media

video streaming with symfony 3.

hands-on-data-science-for-marketing

Hands-On Data Science for Marketing, published by Packt

hands-on-ml-zh

:book: [译] Sklearn 与 TensorFlow 机器学习实用指南【版权问题，网站已下线！！】

handson-ml2

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.

implicit

Fast Python Collaborative Filtering for Implicit Feedback Datasets

learning-react

The code samples for Learning React by Alex Banks and Eve Porcello, published by O'Reilly Media

machine-learning-with-python

Python code for common Machine Learning Algorithms

olist-customer-churn

Modeling non-contractual customer churn in Python

project-dashboard-client

A React TypeScript app which tracks skills used in various projects

python-3-object-oriented-programming-third-edition

Python 3 Object-Oriented Programming – Third Edition, published by Packt

recommender-system-latent-factor-model

The model recommends a set of books to user based on Machine Learning Techniques

retail-demo-store

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

rfm-analysis

Online Retail II Data (2010-2011)

rfm-analysis-python

This repository contains RFM analysis applied to identify customer segments for global retail company and to understand how those groups differ from each other.

rudder-server

Privacy and Security focused Segment-alternative, in Golang and React

sanitize.css

A best-practices CSS foundation

snacker

:ice_cream: A snack recommendation service (using collaborative filtering), that recommends snacks based on your personal taste and geolocation!

startup

superset

Apache Superset is a Data Visualization and Data Exploration Platform