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Scikit-learn VS Cloudinary

Compare Scikit-learn VS Cloudinary 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.

Cloudinary logo Cloudinary

Cloudinary is a cloud-based service for hosting videos and images designed specifically with the needs of web and mobile developers in mind.
  • Scikit-learn Landing page
    Landing page //
    2022-05-06
  • Cloudinary Landing page
    Landing page //
    2023-09-17

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.

Cloudinary videos

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What is Cloudinary?

More videos:

  • Review - Cloudinary Plugin for WordPress Reviewed
  • Review - Cloudinary Mini Review - AndrewCaron.ca

Category Popularity

0-100% (relative to Scikit-learn and Cloudinary)

Scikit-learn

Cloudinary

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Image Optimisation
0 0%
Image Optimisation
100% 100
Data Science Tools
100 100%
Data Science Tools
0% 0
Image Processing
0 0%
Image Processing
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 Cloudinary

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

Cloudinary Reviews

10+ Free CDN Services to Speed Up WordPress
If you run website that heavily dependent on images (think portfolios of photography/design services), offloading your images to another server would be a good idea. You would end up saving a lot of precious bandwidth. Cloudinary is a robust image management solution that can host your images, resize them on-the-fly and a ton of other cool features. In their forever-free...
Source: www.wpexplorer.com

Social recommendations and mentions

Based on our record, Scikit-learn seems to be more popular. It has been mentiond 27 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 (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 / 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: 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
View more

Cloudinary mentions (0)

We have not tracked any mentions of Cloudinary yet. Tracking of Cloudinary recommendations started around Mar 2021.

What are some alternatives?

When comparing Scikit-learn and Cloudinary, 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.

imgix - Real-time Image Processing. Resize, crop, and process images on the fly, simply by changing their URLs.

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

Cloudimage - Cloudimage.io is the easiest way to resize, store, and deliver your images to your customers through a rocket fast CDN.

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

Sirv - Dynamic image processing, hosting and rich-media for retailers and eCommerce.

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