Software Alternatives & Reviews

Magic VS Scikit-learn

Compare Magic VS Scikit-learn and see what are their differences

Magic logo Magic

Get whatever you want on demand with no hassle, through SMS

Scikit-learn logo Scikit-learn

scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
  • Magic Landing page
    Landing page //
    2023-09-17
  • Scikit-learn Landing page
    Landing page //
    2022-05-06

Magic videos

Magic Review - Franken-Doh by Roddy McGhie

More videos:

  • Review - Magic Review - Mental Die by Tony Anverdi & Murphy's Magic
  • Review - True Colors by Eric Chien - Magic Trick Review

Scikit-learn videos

Learning Scikit-Learn (AI Adventures)

More videos:

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

Category Popularity

0-100% (relative to Magic and Scikit-learn)
Productivity
100 100%
0% 0
Data Science And Machine Learning
Medical Practice Management
Data Science Tools
0 0%
100% 100

User comments

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Reviews

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

Magic Reviews

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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...

Social recommendations and mentions

Based on our record, Scikit-learn should be more popular than Magic. 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.

Magic mentions (12)

  • Ask HN: Who is hiring? (September 2023)
    Magic (https://getmagic.com/) | Software Engineer (Full stack Javascript | 100% Remote (preferably APAC, Africa and EU regions) | Full-time | $50,000 to 60,000/year We are the Engineering Team at Magic, a Y Combinator (W15) company. We connect businesses to virtual assistants, with over $30MM raised to date. Our team is currently composed of 17 engineers in 7 countries, growing to 30 engineers worldwide in 2022.... - Source: Hacker News / 8 months ago
  • How to Hire a Pop Star for Your Private Party
    It was Magic, they did YC W15! They still exist; they've just pivoted a bit into virtual assistants. They mostly were for normal stuff early on, although Justin Kahn (who invested in them) used to do some weird stuff using Magic: https://justinkan.com/feed/fun-with-magic They're still around: https://getmagic.com/. - Source: Hacker News / 11 months ago
  • Ask HN: Who is hiring? (April 2023)
    Magic (https://getmagic.com/) | Software Engineering Manager (AI products) | 100% Remote (preferably APAC, Africa and EU regions) | Full-time We are the Engineering Team at Magic, a Y Combinator (W15) company. We connect businesses to virtual assistants, with over $30MM raised to date. Our team is currently composed of 16 engineers in 7 countries, growing to 30 engineers worldwide in 2022. Software Engineering... - Source: Hacker News / about 1 year ago
  • Show HN: Jarvis AI – your dedicated concierge for anything
    Magic (https://getmagic.com/) launched as an SMS assistant like this. It was pretty cool at the time but I recall they couldn't figure out the unit economics for personal assistants. Maybe Jarvis can! - Source: Hacker News / about 1 year ago
  • Ask HN: Who is hiring? (March 2023)
    Magic (https://getmagic.com/) | Javascript Full Stack Engineer and Software Development Manager (AI products) | 100% Remote (preferably APAC, Africa and EU regions) | Full-time We are the Engineering Team at Magic, a Y Combinator (W15) company. We connect businesses to virtual assistants, with over $30MM raised to date. Our team is currently composed of 16 engineers in 7 countries, growing to 30 engineers... - Source: Hacker News / about 1 year ago
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Scikit-learn mentions (28)

  • How to Build a Logistic Regression Model: A Spam-filter Tutorial
    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 / 2 months ago
  • 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
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What are some alternatives?

When comparing Magic and Scikit-learn, you can also consider the following products

Change Healthcare Clinical Network Solutions - Other Health Care

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

Redox - Redox provides an EHR integration platform for digital health solutions.

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

Qvera Interface Engine (QIE) - Qvera's #1 ranked interface engine connects you to the healthcare networks & platforms that unlock your patient data enabling better efficiencies & outcomes

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