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W3Schools VS Scikit-learn

Compare W3Schools VS Scikit-learn and see what are their differences

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  2. » Videos
  3. » Reviews
  4. » Alternatives

W3Schools logo W3Schools

W3Schools is a web developers information website, with tutorials and references on web development...

Scikit-learn logo Scikit-learn

scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
  • W3Schools Landing page
    Landing page //
    2023-06-25
  • Scikit-learn Landing page
    Landing page //
    2022-05-06

W3Schools features and specs

  • Beginner-Friendly
    W3Schools offers tutorials and examples that are straightforward and easy to understand, making it accessible for absolute beginners.
  • Interactive Learning
    Provides a hands-on learning experience with Try-It-Yourself editor, which allows users to edit code and see results in real-time.
  • Wide Range of Topics
    Covers a broad spectrum of web development technologies including HTML, CSS, JavaScript, SQL, PHP, Python, and more.
  • Free Access
    Most of the content on W3Schools is available for free, making it a cost-effective resource for learning web development.
  • Regular Updates
    Content is regularly updated to reflect the latest standards and practices, ensuring learners have current information.

Possible disadvantages of W3Schools

  • Lack of Depth
    While good for beginners, more advanced developers might find the material too basic and lacking in depth.
  • Criticized for Inaccuracy
    Some industry professionals have pointed out occasional inaccuracies in tutorials and examples, which could hinder learning.
  • Limited Community Interaction
    The platform does not offer forums or a strong community aspect, limiting opportunities for peer interaction and support.
  • Ads and Subscription Content
    The free version includes ads, and some advanced content is behind a paywall, which might be a deterrent for some users.
  • Not Comprehensive for Backend Development
    While it's strong in front-end technologies, its coverage of backend development tools and practices is not as extensive or detailed.

Scikit-learn features and specs

  • Ease of Use
    Scikit-learn provides a high-level interface for common machine learning algorithms, making it easy for beginners and professionals to implement complex models with minimal coding.
  • Extensive Documentation and Community Support
    The library has comprehensive documentation and a large, active community. This makes it easy to find tutorials, examples, and solutions to common problems.
  • Integration with Other Libraries
    Scikit-learn integrates well with other scientific computing libraries such as NumPy, SciPy, and pandas, allowing for seamless data manipulation and analysis.
  • Variety of Algorithms
    It offers a wide array of machine learning algorithms for tasks such as classification, regression, clustering, and dimensionality reduction.
  • Performance
    Designed with performance in mind, many of the algorithms are optimized and some even support multicore processing.

Possible disadvantages of Scikit-learn

  • Limited Deep Learning Support
    Scikit-learn is primarily focused on traditional machine learning algorithms and does not offer support for deep learning models, unlike libraries like TensorFlow or PyTorch.
  • Not Ideal for Large-Scale Data
    While Scikit-learn performs well for moderate-sized datasets, it may not be the best choice for extremely large datasets or big data applications.
  • Lack of Online Learning Algorithms
    The library has limited support for online learning algorithms, which are useful for scenarios where data arrives in a stream and model needs to be updated incrementally.
  • Less Flexibility in Customization
    It can be less flexible compared to lower-level libraries when highly customized or specific implementations are needed.
  • Dependency Overhead
    Scikit-learn relies on several other Python libraries like NumPy and SciPy, which might require users to manage multiple dependencies.

W3Schools videos

+ Add

W3Schools is just... Better

More videos:

  • Review - Learn Web Designing from scratch || Website Review || W3Schools || OhMyCode!
  • Review - Is the W3Schools PHP Certification Worth it?
  • Review - W3schools Spaces Review
  • Tutorial - How to Learn Any Programming Language using w3schools

Scikit-learn videos

+ Add

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 W3Schools and Scikit-learn)

W3Schools

Scikit-learn

Online Learning
100 100%
Online Learning
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Education
100 100%
Education
0% 0
Data Science Tools
0 0%
Data Science Tools
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 W3Schools and Scikit-learn

W3Schools Reviews

  1. Arya Deep Singh
    Simple

    Simple and Modest approach articles are better prepared for young learners.

Best Alternatives to LeetCode For Data Science
W3Schools, as one of the best alternatives to LeetCode, claims to be the world's largest web developer site. It's a simple and no-frills tool to learn web development skills including Python and SQL. Their methods and approach to learning work for many people. Their teaching method is simple and basic. The courses on W3Schools are outlined from simplest to most advanced...
Source: www.stratascratch.com

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...
Source: searchbusinessanalytics.techtarget.com

Social recommendations and mentions

Based on our record, W3Schools should be more popular than Scikit-learn. It has been mentiond 187 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.

W3Schools mentions (187)

  • Is getting a Degree a good thing for Web Developers?
    I myself, in 2009, started my Bachelor of Science degree at the University of Northumbria (in Newcastle-upon-Tyne, United Kingdom) in Web Design & Development. On this degree program we learned how to create websites (both static and dynamic using databases etc.), applications (desktop as well as web based), multimedia (images, video and audio), how to plan and implement a project, work as part of a team of... - Source: dev.to / about 2 months ago
  • 🔥 Top 10 Best Websites to Learn Coding for Free! 💻
    W3schools W3schools is a classic resource for learning web development. With its extensive tutorials and references on HTML, CSS, JavaScript, and more, it's a go-to destination for beginners and professionals alike. - Source: dev.to / about 1 year ago
  • Where is the best place to learn web-development?
    I learned from W3Schools. I know it has a bad rep, but seriously. I was 10 years old and was on this site constantly learning stuff. Worth checking out. They have live code editors that allow you to test/modify code immediately in your browser. Source: over 1 year ago
  • I'm 14 and want to be a programmer but I don't know what kind of programmer.
    Go to w3schools.com, and use it as a reference for the upcoming HTML/CSS/JavaScript steps. Source: almost 2 years ago
  • Ask HN: Anyone still using PHP to build side projects or webapps
    YES! I'm using PHP to build my Search Engine for Kids Activities (http://twkids.app) and its been great! I love PHP as there's no other language that provides the same simplicity and immediacy of results. I tried learning multiple frameworks but it was just too overwhelming and complicated. With PHP, its very easy to just get started as you can mix it right into your html. I just learned the basics on... - Source: Hacker News / almost 2 years ago
View more

Scikit-learn mentions (31)

  • Must-Know 2025 Developer’s Roadmap and Key Programming Trends
    Python’s Growth in Data Work and AI: Python continues to lead because of its easy-to-read style and the huge number of libraries available for tasks from data work to artificial intelligence. Tools like TensorFlow and PyTorch make it a must-have. Whether you’re experienced or just starting, Python’s clear style makes it a good choice for diving into machine learning. Actionable Tip: If you’re new to Python,... - Source: dev.to / 3 months ago
  • 🚀 Launching a High-Performance DistilBERT-Based Sentiment Analysis Model for Steam Reviews 🎮🤖
    Scikit-learn (optional): Useful for additional training or evaluation tasks. - Source: dev.to / 5 months ago
  • 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 / 11 months 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 / about 1 year 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 / almost 2 years ago
View more

What are some alternatives?

When comparing W3Schools and Scikit-learn, you can also consider the following products

Free Code Camp - Learn to code by helping nonprofits.

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

Codecademy - Learn the technical skills you need for the job you want. As leaders in online education and learning to code, we’ve taught over 45 million people using a tested curriculum and an interactive learning environment.

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

Treehouse - Treehouse is an award-winning online platform that teaches people how to code.

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

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