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Saleor Commerce might be a bit more popular than Scikit-learn. We know about 29 links to it since March 2021 and only 28 links to Scikit-learn. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Online Courses: Coursera: "Machine Learning" by Andrew Ng EdX: "Introduction to Machine Learning" by MIT Tutorials: Scikit-learn documentation: https://scikit-learn.org/ Kaggle Learn: https://www.kaggle.com/learn Books: "Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow" by Aurélien Géron "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani, and Jerome Friedman By... - Source: dev.to / 3 months ago
Firstly, we need a connection to Memgraph so we can get edges, split them into two parts (train set and test set). For edge splitting, we will use scikit-learn. In order to make a connection towards Memgraph, we will use gqlalchemy. - Source: dev.to / 11 months ago
The ML component is based on scikit-learn which differentiates it from purely list-based filters. It couples this with a full-featured wireless router (RaspAP) in a single device, so it fulfills the needs of a use case not entirely addressed by Pi-hole. Source: about 1 year ago
Finally, when it comes to building models and making predictions, Python and R have a plethora of options available. Libraries like scikit-learn, statsmodels, and TensorFlowin Python, or caret, randomForest, and xgboostin R, provide powerful machine learning algorithms and statistical models that can be applied to a wide range of problems. What's more, these libraries are open-source and have extensive... Source: about 1 year ago
Scikit-learn is a machine learning library that comes with a number of pre-built machine learning models, which can then be used as python wrappers. Source: about 1 year ago
Sure, you can use Saleor - an open-source, headless ecommerce platform with Stripe etc. Check it here https://saleor.io/. Source: over 1 year ago
As a GraphQL-first, open-source headless commerce platform, Saleor can help you build dynamic and blazingly fast storefronts. They are focused on helping your business expand and scale by scaffolding multi-channel, multi-lingual, multi-currency, and multi-warehouse capabilities. It does this by having an administrative dashboard powered by business logic that manages your team and your products. - Source: dev.to / over 1 year ago
Saleor is a platform for creating storefronts. Started in 2020 by Mirek Mencel and Patryk Zawadzki, it has an open-source and cloud platform featuring all the core functionalities you need. It boasts a powerful product configuration tool and a focus on PWA. Their administration dashboard allows you to manage products, people, and functionalities easily. - Source: dev.to / over 1 year ago
You have also https://saleor.io/. I played arround a bit but never did anything serious with it. Source: almost 2 years ago
This post will walk through a practical example of migrating an application from Heroku to Render using Saleor, a popular open-source e-commerce system. Based on Django and Python, Saleor has served high-volume companies in retail sectors like publishing and apparel since 2012 and is still growing rapidly. The latest major update introduces a modular front end powered by a GraphQL API and written with React and... - Source: dev.to / almost 2 years ago
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
WooCommerce - A freely available eCommerce plugin that enables shop facilities on your WordPress website. Functionality enabling extensions & beautiful themes available.
OpenCV - OpenCV is the world's biggest computer vision library
Vue Storefront - Open Source PWA for any eCommerce
NumPy - NumPy is the fundamental package for scientific computing with Python
Magento - Magento is the eCommerce software and platform trusted by the world's leading brands. Grow your online business with Magento.