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Udemy VS Scikit-learn

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

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Udemy logo Udemy

Online Courses - Learn Anything, On Your Schedule

Scikit-learn logo Scikit-learn

scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
  • Udemy Landing page
    Landing page //
    2023-11-09
  • Scikit-learn Landing page
    Landing page //
    2022-05-06

Udemy features and specs

  • Headquarters
    San Francisco, CA

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.

Analysis of Udemy

Overall verdict

  • Udemy is generally considered a good platform for casual learners and professionals looking to gain new skills or knowledge at their own pace. However, course quality can vary since anyone can create a course, so it's important to read reviews and check instructor credentials before enrolling.

Why this product is good

  • Udemy offers a wide range of courses across various subjects at affordable prices. It provides lifetime access to purchased courses, allowing for flexible learning. The platform includes features like progress tracking, quizzes, and certificates of completion. Many courses are taught by industry professionals, providing practical and up-to-date knowledge.

Recommended for

  • Individuals seeking affordable and diverse educational opportunities
  • Professionals looking to learn new skills or upgrade existing ones
  • Students who need supplementary material for their studies
  • Hobbyists interested in exploring new topics

Analysis of Scikit-learn

Overall verdict

  • Yes, Scikit-learn is generally regarded as a good library for machine learning, especially for beginners and intermediate users who need reliable tools with efficient implementation of numerous algorithms.

Why this product is good

  • Scikit-learn is considered a good machine learning library because it provides a wide range of state-of-the-art algorithms for supervised and unsupervised learning. It is designed to interoperate with the Python numerical and scientific libraries NumPy and SciPy. The library is well-documented, easy to use, and has a consistent API that simplifies the integration of different algorithms. Furthermore, there's a strong community and continuous development, which means it is well-maintained and updated regularly with new features and improvements.

Recommended for

  • Beginners learning machine learning concepts and application.
  • Data scientists and engineers looking for a robust and efficient toolkit to build and deploy machine learning models.
  • Researchers who need an easy-to-use library that facilitates the experimentation of various algorithms.
  • Developers who require a seamless, Python-based machine learning library that integrates well with other data analysis tools and environments.

Udemy videos

+ Add

Are Udemy Courses Worth It?

More videos:

  • Review - Udemy Scam! Watch Before You Make A Udemy Course
  • Review - Udemy Review 2018

Scikit-learn videos

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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 Udemy and Scikit-learn)

Udemy

Scikit-learn

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

Udemy Reviews

10 Pluralsight Alternatives & Competitors (2024) – Our Picks
Udemy is probably one of the best online learning platforms today. With a large number of courses in every possible category (writing, design, management, app development, and so on) Udemy has millions of happy users. These online learning platforms present their content in more than 50 languages – making them one of the most diverse platforms to learn from.
Source: missiongraduatenm.org
8 best Teachable alternatives for course creators (Features & pricing)
Udemy benefits: After you upload your course content, selling on Udemy is largely hands-off. This can be an excellent option for instructors who want to earn passive income on their courses without running their own marketing. With over 40 million users, Udemy can make it easier to get your course in front of a large audience.
Source: www.podia.com
The Top Free and Paid Teachable Alternatives For Creators
Pricing: Udemy is free for course creators, but it charges sales commissions. Instructors receive 97% of any sales revenue earned from their own marketing activities, such as social media promotions. Udemy takes 63% of the sales revenue resulting from its promotion activities, like when a user clicks on a Udemy advertisement.
Source: www.thinkific.com
10 Best Treehouse Alternatives in 2024
Udemy is one of the best Treehouse alternatives for students and professionals. This online tutorial portal covers programming courses in almost all languages and applications. The courses are budget-friendly for beginners who are looking for new skill development.
Source: www.geeksforgeeks.org
Top 11 Coursera Alternatives 2024
Udemy is one of the top alternatives to Coursera, as it is a leading online learning platform with a strong selection of reasonably paid courses. It’s a great option for those who want to learn new skills or gain more training to hone their current skill set will find it useful. It provides classes in various subjects, including business, photography, computer science, cloud...
Source: freshlearn.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, Udemy should be more popular than Scikit-learn. It has been mentiond 264 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.

Udemy mentions (264)

  • AI and the Full Stack Developer in 2025
    Enroll in online courses, attend workshops, and participate in hackathons to stay updated on AI advancements. Platforms like Coursera, Udemy, and Kaggle offer excellent resources. - Source: dev.to / 5 months ago
  • Day 1: Introduction to Terraform and Infrastructure as Code (IaC)
    Exploring Infrastructure as Code (IaC) We also had a coupon code reducing the price of a course on Terraform on Udemy by Bryan Krausen and Gabe Maentz on Udemy, I gained insights into the core concepts of Infrastructure as Code. The key takeaway is that IaC helps in managing infrastructure through code instead of manual processes. This not only boosts efficiency but also enhances consistency, and reproducibility... - Source: dev.to / 6 months ago
  • 🏅 Valuable IT Certificates And How To Achieve Them 🏆
    Affordable Options: Udemy often runs sales, making their AWS courses available for under $20. Other affordable platforms include Tutorials Dojo and Whizlabs, which have practice exams and simulations for around $10-$30. - Source: dev.to / 7 months ago
  • Best Productivity Hacks for Developers
    There are multiple skills that will upscale your development journey and provide you with a better command of your role as a developer. Some of them are learning multiple programming languages, computer proficiency, problem-solving, adaptability, debugging, etc. To polish most of the skills, you can go for a decent certification program with which you will not only learn a skill but also get a certificate to... - Source: dev.to / 12 months ago
  • Bought my first laptop for my education after years of being homeless, hope I invested my money right.
    CS is computer science. Also check out edx.com It is hosted by Harvard and if you pay for the course which is very little you get a certificate from them. There is also groupings of courses were you can get a business certificate. Also check out udemy.com. Wait for the specials for $10-15. I have heard that google has certificates that are free but that businesses except. Just try stuff and even look at skills... Source: almost 2 years ago
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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 / 4 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 / 6 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 / 12 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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What are some alternatives?

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

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

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

LinkedIn Learning - Online training through LinkedIn's professional network.

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

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