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Scikit-learn VS edX

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

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Scikit-learn logo Scikit-learn

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

edX logo edX

Best Courses. Top Institutions. Learn anytime, anywhere.
  • Scikit-learn Landing page
    Landing page //
    2022-05-06
  • edX Landing page
    Landing page //
    2023-06-12

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.

edX features and specs

  • High-Quality Courses
    edX offers courses from prestigious universities and institutions such as MIT, Harvard, and Berkeley, ensuring high educational standards.
  • Variety of Subjects
    A vast array of subjects is available, ranging from computer science and engineering to humanities and business, catering to diverse learning interests.
  • Verified Certificates
    Learners can earn verified certificates upon course completion, adding value to their resumes and LinkedIn profiles.
  • Flexible Learning
    Most courses are self-paced, allowing learners to progress at their own speed and fit study time into their schedules.
  • Audit Option
    Many courses can be audited for free, giving learners access to course materials without the need to pay for certification.
  • Professional Series and MicroMasters Programs
    edX offers specialized programs that provide deeper learning in particular subject areas, which can be beneficial for career advancement.

Possible disadvantages of edX

  • Cost of Certificates
    While many courses can be audited for free, obtaining a verified certificate requires a fee, which can be a barrier for some learners.
  • Course Rigor
    The high quality of courses often means they are rigorous and may require a significant time commitment and level of prior knowledge.
  • Limited Interaction
    Interaction with instructors and peers may be limited compared to traditional classroom settings, which could affect the learning experience for some students.
  • Variable Course Quality
    While many courses are excellent, the quality can vary depending on the institution and instructor, leading to an inconsistent learning experience.
  • Technical Requirements
    Some learners may face technical difficulties accessing course materials and activities, especially if the platform undergoes updates or if they have slower internet connections.

Scikit-learn videos

+ Add

Learning Scikit-Learn (AI Adventures)

More videos:

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

edX videos

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The Best Open Online Courses - Coursera, Udacity, edX Review

More videos:

  • Tutorial - edX Online Tutorial Course Review on How it Works

Category Popularity

0-100% (relative to Scikit-learn and edX)

Scikit-learn

edX

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Online Learning
0 0%
Online Learning
100% 100
Data Science Tools
100 100%
Data Science Tools
0% 0
Education
0 0%
Education
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 edX

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

edX Reviews

10 Pluralsight Alternatives & Competitors (2024) – Our Picks
edX is one of the most popular learning platforms today. With collaborations with top universities and institutions from around the world and well-known tutors, the platform provides quality education to people looking to develop or advance in any field. edX provides users with a beginner-friendly curriculum as well, which makes it very inclusive and one of the top...
Source: missiongraduatenm.org
10 Best Treehouse Alternatives in 2024
edX is the brainchild of alumni of MT, Harvard, Stanford, etc. This online platform focuses on adding value by providing high-quality courses on programming, data science, computer sciences, etc. You will find instructors for hand-picked courses here.
Source: www.geeksforgeeks.org
Top 11 Coursera Alternatives 2024
In 2012, Harvard and MIT established EdX, a nonprofit platform that hosts high-quality courses from more than 100 universities, organizations, and non-profits. It serves a worldwide student body by providing access to affordable, university-level courses in various disciplines, such as computer science, data science, artificial intelligence, cloud computing, psychology, and...
Source: freshlearn.com
10 Best Coursera Alternatives in 2024
edX is an online­ learning platform founded by Harvard University and the­ Massachusetts Institute of Technology (MIT). This Coursera alternative offe­rs a wide range of high-quality courses from pre­stigious institutions around the world, covering many subjects such as computer scie­nce, humanities, and business.
Source: www.geeksforgeeks.org
14 Best Free and Paid Coursera Alternatives For Creators (2024)
The EdX Verified Track is the paid version of EdX’s offerings. It provides a certificate to learners so they can prove their new knowledge to employers, professors, and social networks.
Source: www.thinkific.com

Social recommendations and mentions

Based on our record, edX should be more popular than Scikit-learn. It has been mentiond 235 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 (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
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edX mentions (235)

  • So I made a python script to add entries to your dynamic config.yml file dynamically
    Let me know what you think and if you have suggestions to resolve that bug. I'm learning programming and have next to no python experience, I am taking CS50 through edx.org and the AI at chatgpt did most of the work. Source: almost 2 years ago
  • Think I might change my name...
    Im sorry man I want to be sympathetic but people like you cost an incalculable amount of people far more than you could even imagine and I truly believe that if hell exists you will be going there. I am serious though about seeking mental help you seem to still not have any impact on your mind or soul of how you affected other people just how your actions affected you that is some sociopath shit right there and if... Source: almost 2 years ago
  • I’m homeschooled but my parents don’t teach me a thing
    Khanacademy.org is a fantastic resource for math, as well as many other courses. If you have access to the internet, try taking some of the courses there. They mirror what is taught in public schools with classes for all grade levels. There are other resources like edx.org that can provide free courses in topics like computer science and business. Source: almost 2 years ago
  • Is there a way to learn AI during my engineering degree?
    u can always self study, u aren’t limited to learn only what’s in ur degree. Go on edx and check our some of their free courses. Ur life is a lot more than the degree ur pursuing. Source: almost 2 years ago
  • What I Learned from Two Years of Teaching High School CS
    The "best" professors/teachers I saw yet, where radiating an exhuberant joy while talking about their topic. It is fun to listen. They where a russian teaching in america who recorded a series about physics for TTC, The Teaching Company. He got voted best professor in america twice.The other one was David Malan of Harvards CS50 on [0]. Beware though, it sadly spoils you for later lectures by others. [0]... - Source: Hacker News / almost 2 years ago
View more

What are some alternatives?

When comparing Scikit-learn and edX, 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.

Coursera - Build skills with courses, certificates, and degrees online from world-class universities and companies

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

Khan Academy - Khan Academy offers online tools to help students learn about a variety of important school subjects. Tools include videos, practice exercises, and materials for instructors. Read more about Khan Academy.

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

Udemy - Online Courses - Learn Anything, On Your Schedule

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