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Scikit-learn VS H2O.ai

Compare Scikit-learn VS H2O.ai and see what are their differences

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LibHunt tracks mentions of software libraries on relevant social networks. Based on that data, you can find the most popular projects and their alternatives. featured
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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.

H2O.ai logo H2O.ai

Democratizing Generative AI. Own your models: generative and predictive. We bring both super powers together with h2oGPT.
  • Scikit-learn Landing page
    Landing page //
    2022-05-06
  • H2O.ai Landing page
    Landing page //
    2023-10-25

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.

H2O.ai videos

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[Demo] Predicting Healthcare Outcomes with H2O.ai

More videos:

  • Review - H2O Just Add Water was the weirdest show...
  • Review - H2O wireless phone service full review 2019
  • Review - H2O Wireless:IS IT WORTH IT Review?
  • Review - H2O.ai VS. OBSERVE.ai: What The AI Race To Market Means
  • Review - H2O.ai Launches H2OGPT and LLM Studio: Build Your Own Enterprise Grade Chatbots

Category Popularity

0-100% (relative to Scikit-learn and H2O.ai)

Scikit-learn

H2O.ai

Data Science And Machine Learning
84 84%
Data Science And Machine Learning
16% 16
Data Science Tools
100 100%
Data Science Tools
0% 0
AI
0 0%
AI
100% 100
Python Tools
100 100%
Python Tools
0% 0

Questions and Answers

As answered by people managing Scikit-learn and H2O.ai.

What makes your product unique?

H2O.ai's answer:

At H2O.ai, democratizing AI isn’t just an idea. It’s a movement. And that means that it requires action. We started out as a group of like minded individuals in the open source community, collectively driven by the idea that there should be freedom around the creation and use of AI.

User comments

Share your experience with using Scikit-learn and H2O.ai. For example, how are they different and which one is better?
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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 H2O.ai

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

H2O.ai Reviews

Top 7 Predictive Analytics Tools
If a company is interested in an open-source predictive analytics tool with data mining features, put H2O at the top of the list. It offers fast performance, affordability, advanced capabilities, and extreme flexibility. The dashboard for H2O offers a veritable smorgasbord of actionable insights. However, this tool is more for the expert data science crowd than for citizen...
Source: www.datamation.com
The 16 Best Data Science and Machine Learning Platforms for 2021
Description: H2O.ai offers a number of AI and data science products, headlined by its commercial platform H2O Driverless AI. Driverless AI is a fully open-source, distributed in-memory machine learning platform with linear scalability. H2O supports widely used statistical and machine learning algorithms including gradient boosted machines, generalized linear models, deep...
Source: solutionsreview.com

Social recommendations and mentions

Based on our record, Scikit-learn seems to be a lot more popular than H2O.ai. While we know about 27 links to Scikit-learn, we've tracked only 1 mention of H2O.ai. 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 (27)

  • 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 / 10 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: 11 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
  • Machine learning with Julia - Solve Titanic competition on Kaggle and deploy trained AI model as a web service
    This is not a book, but only an article. That is why it can't cover everything and assumes that you already have some base knowledge to get the most from reading it. It is essential that you are familiar with Python machine learning and understand how to train machine learning models using Numpy, Pandas, SciKit-Learn and Matplotlib Python libraries. Also, I assume that you are familiar with machine learning... - Source: dev.to / about 1 year ago
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H2O.ai mentions (1)

  • Nginx is now the most popular web server, overtaking Apache
    How about H2O? It's supposed to be significantly faster than Nginx: https://h2o.examp1e.net/. - Source: Hacker News / almost 3 years ago

What are some alternatives?

When comparing Scikit-learn and H2O.ai, 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.

TensorFlow - TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.

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

datarobot - Become an AI-Driven Enterprise with Automated Machine Learning

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

RapidMiner - RapidMiner is a software platform for data science teams that unites data prep, machine learning, and predictive model deployment.

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