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Scikit-learn VS Bonsai.io

Compare Scikit-learn VS Bonsai.io and see what are their differences

Scikit-learn logo Scikit-learn

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

Bonsai.io logo Bonsai.io

Bonsai - Hosted Elasticsearch
  • Scikit-learn Landing page
    Landing page //
    2022-05-06
  • Bonsai.io Landing page
    Landing page //
    2023-07-12

Scikit-learn videos

Learning Scikit-Learn (AI Adventures)

More videos:

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

Bonsai.io videos

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Category Popularity

0-100% (relative to Scikit-learn and Bonsai.io)
Data Science And Machine Learning
Project Management
0 0%
100% 100
Data Science Tools
100 100%
0% 0
Time Tracking
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 Scikit-learn and Bonsai.io

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...

Bonsai.io Reviews

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Social recommendations and mentions

Based on our record, Scikit-learn seems to be a lot more popular than Bonsai.io. While we know about 28 links to Scikit-learn, we've tracked only 2 mentions of Bonsai.io. 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 (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 / 3 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 / 12 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: about 1 year 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: about 1 year 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
View more

Bonsai.io mentions (2)

  • Deploying a minimal self-hosted version of Omnivore using fly.io
    This tutorial gives a basic overview of whats needed to self-host Omnivore. I deployed it using fly.io (a pretty easy to use docker hosting platform) and https://bonsai.io/ (a hosted version of Elasticsearch). Source: about 1 year ago
  • Adding Postgres Search to a Node REST API
    Throughout my 15 years as web developer, I have built countless services with less than ideal search options. In the early days of Wordpress and Drupal, we used LIKE statements and mashed together strings. And while tools like Mongo have some search capabilties, ranked search results were still hard to deploy. As the web (and my skills) grew, we offloaded ranked search to tools like Solr and Elastic. But each of... - Source: dev.to / over 2 years ago

What are some alternatives?

When comparing Scikit-learn and Bonsai.io, 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.

awork - awork is the easiest way for teams to organize their work and track their progress.

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

Revenera - The enabling technology to take products to market fast, unlock the value of your IP and accelerate revenue growth – from the edge to the cloud.

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

Freework - An easy way to keep track of your daily work