Software Alternatives & Reviews

Scikit-learn VS Open Text Magellan

Compare Scikit-learn VS Open Text Magellan and see what are their differences

Scikit-learn logo Scikit-learn

scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

Open Text Magellan logo Open Text Magellan

OpenText Magellan - the power of AI in a pre-wired platform that augments decision making and accelerates your business. Learn more.
  • Scikit-learn Landing page
    Landing page //
    2022-05-06
  • Open Text Magellan Landing page
    Landing page //
    2023-10-07

Scikit-learn videos

Learning Scikit-Learn (AI Adventures)

More videos:

  • Review - Python Machine Learning Review | Learn python for machine learning. Learn Scikit-learn.

Open Text Magellan videos

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Category Popularity

0-100% (relative to Scikit-learn and Open Text Magellan)
Data Science And Machine Learning
Data Science Tools
100 100%
0% 0
Business & Commerce
0 0%
100% 100
Python Tools
100 100%
0% 0

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Scikit-learn and Open Text Magellan

Scikit-learn Reviews

15 data science tools to consider using in 2021
Scikit-learn is an open source machine learning library for Python that's built on the SciPy and NumPy scientific computing libraries, plus Matplotlib for plotting data. It supports both supervised and unsupervised machine learning and includes numerous algorithms and models, called estimators in scikit-learn parlance. Additionally, it provides functionality for model...

Open Text Magellan Reviews

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Social recommendations and mentions

Based on our record, Scikit-learn seems to be more popular. It has been mentiond 27 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.

Scikit-learn mentions (27)

  • Link Prediction With node2vec in Physics Collaboration Network
    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
  • WiFilter is a RaspAP install extended with a squidGuard proxy to filter adult content. Great solution for a family, schools and/or public access point
    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: 12 months ago
  • PSA: You don't need fancy stuff to do good work.
    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: 12 months ago
  • Help on using R for Machine Learning?
    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
  • Machine learning with Julia - Solve Titanic competition on Kaggle and deploy trained AI model as a web service
    This is not a book, but only an article. That is why it can't cover everything and assumes that you already have some base knowledge to get the most from reading it. It is essential that you are familiar with Python machine learning and understand how to train machine learning models using Numpy, Pandas, SciKit-Learn and Matplotlib Python libraries. Also, I assume that you are familiar with machine learning... - Source: dev.to / about 1 year ago
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Open Text Magellan mentions (0)

We have not tracked any mentions of Open Text Magellan yet. Tracking of Open Text Magellan recommendations started around Mar 2021.

What are some alternatives?

When comparing Scikit-learn and Open Text Magellan, you can also consider the following products

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

BAAR - BAAR is a Business Workflow Automation platform to help you automate digital security.

OpenCV - OpenCV is the world's biggest computer vision library

Neuton.AI - No-code artificial intelligence for all

NumPy - NumPy is the fundamental package for scientific computing with Python

Infrrd.ai - Cheaper, Lighter, Faster Enterprise AI platform that makes sense of your image, text and behavioral data to automate decision for cost/man power reduction or revenue increase.