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Scikit-learn VS Paperspace Gradient

Compare Scikit-learn VS Paperspace Gradient and see what are their differences

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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.

Paperspace Gradient logo Paperspace Gradient

A Linux desktop in the cloud built for Machine Learning
  • Scikit-learn Landing page
    Landing page //
    2022-05-06
  • Paperspace Gradient Landing page
    Landing page //
    2023-02-04

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.

Paperspace Gradient videos

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Paperspace for Machine Learning

Category Popularity

0-100% (relative to Scikit-learn and Paperspace Gradient)

Scikit-learn

Paperspace Gradient

Data Science And Machine Learning
95 95%
Data Science And Machine Learning
5% 5
AI
0 0%
AI
100% 100
Data Science Tools
100 100%
Data Science Tools
0% 0
Python Tools
100 100%
Python Tools
0% 0

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 Paperspace Gradient

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

Paperspace Gradient Reviews

7 best Colab alternatives in 2023
Gradient by Paperspace is a robust alternative that allows developing, training, and deploying machine learning models quickly. With free GPU tier and one-click Jupyter notebooks, it's an easy-to-use platform that doesn't compromise on functionality. Gradient is also known for its powerful experiment tracking and version control capabilities.
Source: deepnote.com
12 Best Jupyter Notebook Alternatives [2023] – Features, pros & cons, pricing
Paperspace Gradient is a cloud-based platform for data science and machine learning that offers many of the same features as Jupyter Notebooks, as well as a number of additional capabilities. It provides powerful hardware resources, including GPUs, and supports Python, R, and Julia.
Source: noteable.io

Social recommendations and mentions

Based on our record, Scikit-learn seems to be a lot more popular than Paperspace Gradient. While we know about 28 links to Scikit-learn, we've tracked only 1 mention of Paperspace Gradient. 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 / 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: almost 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
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Paperspace Gradient mentions (1)

What are some alternatives?

When comparing Scikit-learn and Paperspace Gradient, 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.

Renderro - Powerful cloud desktop for creatives like you.

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

Amazon Machine Learning - Machine learning made easy for developers of any skill level

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

Apple Machine Learning Journal - A blog written by Apple engineers

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