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Scikit-learn VS MacMenuBar

Compare Scikit-learn VS MacMenuBar 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.

MacMenuBar logo MacMenuBar

A curated directory of 200+ Mac menu bar apps
  • Scikit-learn Landing page
    Landing page //
    2022-05-06
  • MacMenuBar Landing page
    Landing page //
    2023-01-29

Scikit-learn videos

Learning Scikit-Learn (AI Adventures)

More videos:

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

MacMenuBar videos

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Category Popularity

0-100% (relative to Scikit-learn and MacMenuBar)
Data Science And Machine Learning
Productivity
0 0%
100% 100
Data Science Tools
100 100%
0% 0
Marketing
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 Scikit-learn and MacMenuBar

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...

MacMenuBar Reviews

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Social recommendations and mentions

Based on our record, Scikit-learn should be more popular than MacMenuBar. It has been mentiond 29 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 (29)

  • Essential Deep Learning Checklist: Best Practices Unveiled
    How to Accomplish: Utilize data splitting tools in libraries like Scikit-learn to partition your dataset. Make sure the split mirrors the real-world distribution of your data to avoid biased evaluations. - Source: dev.to / 20 days ago
  • 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 / 4 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 / about 1 year 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: about 1 year 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: about 1 year ago
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MacMenuBar mentions (15)

  • This but for the Menu bar
    You may find it here: https://macmenubar.com/. Source: about 1 year ago
  • What is every single website that you currently have bookmarked right now? (mine are listed in the comments)
    Https://macmenubar.com/ (This cuz it's a cool tool for discovering new mac menu bar apps, and it's just a good database to keep saved if you're a mac user). Source: about 1 year ago
  • New company gave me a MacBook Pro 14 inch M2, 16 GB 512 SSD! First ever mac, what are some tip/tricks I should know ?
    Https://macmenubar.com/ is a great resource for finding menu bar apps. Source: about 1 year ago
  • Anyone got any app recommendations? (I'm really into trying new ones so i'll try anything that seems even remotely useful that I don't have already)
    You can take a look here. They're all menu bar apps. Source: about 1 year ago
  • What apps do you have in your menubar?
    Well, there are 800+ Mac menu bar apps to choose from https://macmenubar.com/. Source: about 1 year ago
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What are some alternatives?

When comparing Scikit-learn and MacMenuBar, 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.

Zoom Apps - Build Apps on Zoom

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

Altstore - A home for apps that push the boundaries on iOS

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

Semrush App Center - Power your marketing by connecting your apps to Semrush data