Software Alternatives & Reviews

Spatial VS Scikit-learn

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

Spatial logo Spatial

Collaborate from anywhere in AR

Scikit-learn logo Scikit-learn

scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
  • Spatial Landing page
    Landing page //
    2023-07-27
  • Scikit-learn Landing page
    Landing page //
    2022-05-06

Spatial videos

Spatial Review - Collaborating in AR

More videos:

  • Review - Spatial.is Review
  • Review - Spatial.is Review | Website First Dates

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 Spatial and Scikit-learn)
Virtual Reality
100 100%
0% 0
Data Science And Machine Learning
Productivity
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 Spatial and Scikit-learn

Spatial Reviews

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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

Scikit-learn might be a bit more popular than Spatial. We know about 28 links to it since March 2021 and only 23 links to Spatial. 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.

Spatial mentions (23)

  • RC Tweet Tin: Flex Port?
    Playing Into the Cyberverse on spatial.io by Protocol Gemini has got me into the habit of looking for hidden messages everywhere. Source: 6 months ago
  • SuperStonk, with the impending death of 3rd party apps like RIF, Apollo, etc what are your plans?
    Why not a community in spatial.io or something? Source: 11 months ago
  • Need help
    There are many metaverses. Some accessed via sites (like Decentraland,) others you have to download a 3D client (like Second Life)- I'd suggest you do a google search for common metaverses. You could also try spatial.io which is quick and easy. Source: about 1 year ago
  • Marketplace Creator AMA Series: w/The Shrike from Protocol: Gemini and Cyber Crew!
    Yo. Goose here. We have been exploring some music and art experiences in the metaverse, on platforms such as spatial.io and somniumspace.com and our native metaverse app which is coming this year. Source: about 1 year ago
  • Myofascial Pain Syndrome by Erol Jahja, DO
    Dr. Jahja completed his residency in Physical Medicine and Rehabilitation at LifeBridge Health on Baltimore, Maryland. The event will be held on our virtual stage hosted through Spatial.io 🚀 This is a unique opportunity to meet and talk with Dr. Jahja. Attendance is FREE with registration!👌🏼. Source: over 1 year 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 / 2 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 / 11 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: 12 months 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: 12 months 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: about 1 year ago
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What are some alternatives?

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

VRChat - Create and play in virtual worlds with others

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

MeetinVR - VR business meetings better than in real life

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

VeeR VR - Global VR video community

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