Magentrix
DigitalChalk
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Unily
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Clinked
Scikit-learn
Pandas
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NumPy
Dataiku
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Magentrix extends your CRM for partner relationship management (PRM) portals and customer portals.
PRM Portals: Indirect channel partners sell the most when they have access to the tools and information they need, when they want it. Let them securely and in a mobile responsive way be able to self-register, submit deals, access marketing and technical materials, training modules or learning paths with certification and more.
Customer Portals: Need to have customers log in and view or update their information? Self-service knowledge base with answers and log tickets? Consume documentation or download updates?
Magentrix can help. Most of our portals are up and running in days.
Magentrix Scikit-learnBased on our record, Scikit-learn seems to be more popular. It has been mentiond 28 times since March 2021. 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 / 12 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: over 1 year ago
DigitalChalk - Online Training Software and Learning Management System (LMS)
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Workplace by Facebook - Connect everyone in your company and turn ideas into action.
OpenCV - OpenCV is the world's biggest computer vision library
DigitalCRM - Sales CRM Software Automate the workflow process of Lead management, Sales pipeline,Marketing, Customer acquisition and increase productivity Unlimited Users – $500 (all incl.
NumPy - NumPy is the fundamental package for scientific computing with Python
