Software Alternatives, Accelerators & Startups

Apple VS Scikit-learn

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

Apple logo Apple

Available on iOS

Scikit-learn logo Scikit-learn

scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
  • Apple Landing page
    Landing page //
    2023-08-22
  • Scikit-learn Landing page
    Landing page //
    2022-05-06

Apple videos

Apple Watch Ultra Review: Worth It Or Nah?

More videos:

  • Review - Apple Watch Ultra vs Series 8
  • Review - Apple Watch Ultra changed my life! 8 months later review...
  • Review - Apple HomePod 2 Review: I'm Confused

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 Apple and Scikit-learn)
Hardware
100 100%
0% 0
Data Science And Machine Learning
Music
100 100%
0% 0
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 Apple and Scikit-learn

Apple Reviews

  1. iPhone 15pro

    It is a game changer! The camera quality is very nice, strong and lightweight. Enhanced battery life and stunning dispaly.

    🏁 Competitors: Apple, iPhone 15pro

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, Apple should be more popular than Scikit-learn. It has been mentiond 64 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.

Apple mentions (64)

  • Apple confirms it has blocked iMessage exploit
    Following your logic I can get sued just got typing curl https://apple.com. Source: 6 months ago
  • Apple responds to the Beeper iMessage saga: ‘We took steps to protect our users’
    Your argument is equivalent (in encryption terms) to complaining that Apple have a monopoly over over HTTPS/TLS certs that verify the identity of apple.com and that it's unfair that they don't let other companies pretend to be the real Apple website. Source: 6 months ago
  • Is there a way around this
    Mind you I have checked "my devices" on apple.com however the phone is no longer linked to my account... Source: 6 months ago
  • Activation Fee When Paying Full Price to Apple?
    My wife is looking to buy an Iphone paying full price from apple.com. Source: 6 months ago
  • Buying an iPhone in Taiwan
    You can also get it online, Either from apple.com or Pchome or momo. Both are authorized online resellers of apple. I bought my both phone, One 3 years ago (form apple) and one just yesterday (from Pchome) and few of my friends have done the same and had no problems whatsoever till date. It usually arrives within 24hr in Taipei and major cities and maybe 2-3 days if you live somewhere remote. Source: 6 months 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 / 3 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 / 12 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: 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
  • 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: over 1 year ago
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What are some alternatives?

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

Amazon - Online shopping from the earth's biggest selection of books, magazines, music, DVDs, videos, electronics, computers, software, apparel & accessories, shoes, jewelry, tools & hardware, housewares, furniture, sporting goods, beauty & much more

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

Samsung US - Official Twitter of Samsung USA.

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

Mac2Sell - Mac2Sell is a valuable resource that lets you estimate the correct value for your second-hand Apple system, giving you the extra edge for bargaining with buyers.

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