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Scikit-learn VS Lo-Dash

Compare Scikit-learn VS Lo-Dash 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.

Lo-Dash logo Lo-Dash

Lo-Dash is a drop-in replacement for Underscore.
  • Scikit-learn Landing page
    Landing page //
    2022-05-06
  • Lo-Dash Landing page
    Landing page //
    2021-09-20

Scikit-learn videos

Learning Scikit-Learn (AI Adventures)

More videos:

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

Lo-Dash videos

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Category Popularity

0-100% (relative to Scikit-learn and Lo-Dash)
Data Science And Machine Learning
Javascript UI Libraries
0 0%
100% 100
Data Science Tools
100 100%
0% 0
Development 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 Scikit-learn and Lo-Dash

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...

Lo-Dash Reviews

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Social recommendations and mentions

Based on our record, Lo-Dash should be more popular than Scikit-learn. It has been mentiond 86 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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Lo-Dash mentions (86)

  • How to shuffle an array in JavaScript
    Lodash is a widely used utility library in JavaScript, providing a range of helpful functions to simplify common programming tasks. One of the functions provided by Lodash is _.shuffle(), which is specifically designed to shuffle the elements of an array. - Source: dev.to / 22 days ago
  • How to set up a new project using Yarn
    Let’s make sure that we can packages and run code. We will install lodash, call a function from it, and print the output. - Source: dev.to / about 1 month ago
  • 8 NPM Packages for JavaScript Beginners [2024][+tutorials]
    Lodash.js is like the Swiss Army knife for JavaScript developers. Need to manipulate data structures or dabble in functional programming? Lodash is here to save the day with its arsenal of utilities. It's all about making your code cleaner and your life easier, which is probably why big guns like Google and Airbnb have it in their toolkit. - Source: dev.to / 2 months ago
  • Full Stack Web Development Concept map
    Lodash - utility library enabling things like deep object comparison that aren't easy to do with javascript out of the box. docs. - Source: dev.to / 3 months ago
  • Getting Started with Lodash: A Beginner's Guide to JavaScript Utility Functions
    Lodash is a widely used JavaScript utility library that provides a plethora of functions to simplify common programming tasks. From manipulating arrays and objects to handling edge cases and implementing functional programming paradigms, Lodash offers a comprehensive toolkit for JavaScript developers. In this beginner's guide, we'll learn how to get started with Lodash and leverage its functionality to write... - Source: dev.to / 3 months ago
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What are some alternatives?

When comparing Scikit-learn and Lo-Dash, 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.

jQuery - The Write Less, Do More, JavaScript Library.

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

React Native - A framework for building native apps with React

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

Babel - Babel is a compiler for writing next generation JavaScript.