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Scikit-learn VS Ethereum

Compare Scikit-learn VS Ethereum 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.

Ethereum logo Ethereum

Ethereum is a decentralized platform for applications that run exactly as programmed without any chance of fraud, censorship or third-party interference.
  • Scikit-learn Landing page
    Landing page //
    2022-05-06
  • Ethereum Landing page
    Landing page //
    2023-10-22

Scikit-learn videos

Learning Scikit-Learn (AI Adventures)

More videos:

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

Ethereum videos

ETHEREUM Cryptocurrency Review

More videos:

  • Review - Ethereum Classic: Complete Review of ETC

Category Popularity

0-100% (relative to Scikit-learn and Ethereum)
Data Science And Machine Learning
Business & Commerce
0 0%
100% 100
Data Science Tools
100 100%
0% 0
Cryptocurrencies
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 Ethereum

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...

Ethereum Reviews

We have no reviews of Ethereum yet.
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Social recommendations and mentions

Based on our record, Ethereum should be more popular than Scikit-learn. It has been mentiond 148 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.

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: over 1 year ago
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Ethereum mentions (148)

  • How I Contributed One Line of Code to Ethereum
    After my first open-source contribution, I looked for other projects where I could contribute. One of those projects was Ethereum, which is a blockchain network that enables Decentralized Finance, tokenization of assets, and an open internet. While reading through their contributing guidelines, I found an issue in their documentation and ended up fixing it, making my second open-source contribution. - Source: dev.to / 7 months ago
  • What’s The Difference Between Bitcoin And Bitcoin Cash?
    Keep up to date with Bitcoin on Bitcoin.org Keep up to date with Ethereum news on Ethereum.org. Source: 7 months ago
  • Roadmap to Becoming a Web3 Developer in 2023
    Ethereum - The second biggest cryptocurrency platform after Bitcoin, with its own blockchain and smart contract functionality through Solidity. - Source: dev.to / 10 months ago
  • Coinbase revolutionizes Ethereum communication
    Coinbase makes use of the Extended Message Transfer Protocol (XMTP) communication protocol to allow messaging between Ethereum addresses. Source: 11 months ago
  • Direct-to-Creator generation
    Elsewhere, The Sandbox is a blockchain-based virtual world built on Ethereum where players can build, own and monetise their gaming experiences. The platform utilises a ‘play-to-earn’ model to incentivise players for time spent in the metaverse, and is building an open metaverse to enable greater collaboration with creators and brands alike. Source: 12 months ago
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What are some alternatives?

When comparing Scikit-learn and Ethereum, 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.

Bitcoin - Bitcoin is an innovative payment network and a new kind of money.

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

Litecoin - Litecoin is a peer-to-peer Internet currency that enables instant payments to anyone in the world.

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

Monero - Monero is a secure, private, untraceable currency. It is open-source and freely available to all.