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join.me VS Scikit-learn

Compare join.me VS Scikit-learn and see what are their differences

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join.me logo join.me

Instant screen sharing. Instant Aha!

Scikit-learn logo Scikit-learn

scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
  • join.me Landing page
    Landing page //
    2023-07-26
  • Scikit-learn Landing page
    Landing page //
    2022-05-06

join.me features and specs

  • Ease of Use
    Join.me has an intuitive user interface that allows users to quickly set up and join meetings without extensive technical knowledge.
  • Screen Sharing
    The platform offers robust screen sharing capabilities, making it easy for presenters to share their screen with participants in real-time.
  • No Downloads Required
    Users can join a meeting directly through their web browser without needing to download any software, enhancing its accessibility.
  • Mobile Accessibility
    Join.me supports mobile devices, allowing users to participate in meetings on-the-go through their smartphones or tablets.
  • Customizable URLs
    The service allows for personalized meeting URLs, making it easier for participants to remember and join meetings.

Possible disadvantages of join.me

  • Limited Free Plan
    The free version of Join.me has limited features, especially in comparison to competitors, which may not be sufficient for more extensive business needs.
  • Video Quality
    Some users have reported that the video quality is not as high as other competing platforms, which can affect the overall meeting experience.
  • Security Concerns
    Join.me has faced criticism over its security and privacy measures, which might be a significant concern for businesses handling sensitive information.
  • Advanced Features Require Subscription
    Many of the advanced features like recording, scheduling, and management tools are locked behind a paywall, requiring a subscription.
  • Integration Limitations
    Compared to some other platforms, Join.me offers fewer integrations with other business tools and applications, which might limit its functionality for some users.

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.

join.me videos

+ Add

Join.me Review | Next Best Conference Calling Software | Pearl Lemon Reviews

More videos:

  • Review - Using Join.me (Free)
  • Tutorial - Join.Me - Free ScreenSharing Service Tutorial

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 join.me and Scikit-learn)

join.me

Scikit-learn

Communication
100 100%
Communication
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Group Chat & Notifications
100 100%
Group Chat & Notifications
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 join.me and Scikit-learn

join.me Reviews

Sick of TeamViewer? Try these 7 Free alternative to TeamViewer
Join me is a remote desktop software that enables users to customize their online meeting and screen sharing experiences by claiming a personalized URL. Moreover, the users can also customise the meeting background and get their own personal link for notifications. Join Me also has Whiteboarding features that allow real-time discussions and interactions.
Source: www.troopmessenger.com
7 Zoom Alter­na­tives for Video Con­fer­enc­ing and Remote Meetings
Join.me is an interactive teleconferencing solution that allows the user to communicate with collaborators across different platforms.
Source: www.guidingtech.com
13 Best Teamviewer Alternatives You Must Try
Why do you need to opt for Join.me? If you’re operating a business or even for individual purposes you want to collaborate remotely with individuals, JoinMe is an amazing remote management tool that you can use. A quick, easy and much better way to connect and socialize with individuals remotely is what Join.me is all about.
Source: twitgoo.com
Alternatives to TeamViewer
The company LogMeIn has another TeamViewer alternative, the web tool Join.me to add to the mix. This alternative makes organizing and implementing online meetings child’s play. For this purpose, the service offers access to an admin area where you can easily schedule and hold meetings. All past meetings are automatically archived so that you can keep tabs on what invited...
Source: www.ionos.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, Scikit-learn should be more popular than join.me. It has been mentiond 31 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.

join.me mentions (15)

  • Is getting a .website domain a good idea for my business?
    Agreed. A good example of a good use is join.me. This makes sense but even so, do you know how many times I've had people type join.me.com even after I say its just join.me? A lot. Source: almost 2 years ago
  • finding a screen recorder / screen share program that gives 5 minute warming that video will end
    I'm doing a little investigative work... While I was giving a personal training using my screen sharing program join.me, the participant had a voice come over his computer. The computer generated voice said 'this video will end in 5 minutes'. Also there was a beeping sound every second just before this voice. Source: about 2 years ago
  • Anyone got extra users on their accouts?
    Why don't you have him share his screen with you? You can use something simple like teams in office or join.me so you can see his screen on your screen. Source: about 3 years ago
  • Tell me you're in inside sales without telling me you're in inside sales.
    Https://www.youtube.com/watch?v=zh9h4KZpnJU this one? Or the join.me song? Source: about 3 years ago
  • Some Useful Websites that you should must use
    📎33. join.me: Share your screen with anyone over the web. Source: about 3 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 join.me and Scikit-learn, you can also consider the following products

Zoom - Equip your team with tools designed to collaborate, connect, and engage with teammates and customers, no matter where you’re located, all in one platform.

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

Skype - Stay in touch with your family and friends for free on Skype. Download Skype today to chat and call on desktop and mobile.

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

TeamViewer - TeamViewer lets you establish a connection to any PC or server within just a few seconds.

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

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