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PyCaret VS IBM Watson Studio

Compare PyCaret VS IBM Watson Studio and see what are their differences

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PyCaret logo PyCaret

open source, low-code machine learning library in Python

IBM Watson Studio logo IBM Watson Studio

Learn more about Watson Studio. Increase productivity by giving your team a single environment to work with the best of open source and IBM software, to build and deploy an AI solution.
  • PyCaret Landing page
    Landing page //
    2022-03-19
  • IBM Watson Studio Landing page
    Landing page //
    2023-10-05

PyCaret videos

+ Add

Quick tour of PyCaret (a low-code machine learning library in Python)

More videos:

  • Review - Automate Anomaly Detection Using Pycaret -Data Science And Machine Learning
  • Review - Machine Learning in Power BI with PyCaret- Podcast With Moez- Author Of Pycaret

IBM Watson Studio videos

+ Add

Product Review: IBM Watson Studio AutoAI

More videos:

  • Review - Overview of IBM Watson Studio
  • Review - Configuring IBM Watson Studio (Free) with 2.3 (coursera), April 30th '19 Release

Category Popularity

0-100% (relative to PyCaret and IBM Watson Studio)

PyCaret

IBM Watson Studio

Data Science And Machine Learning
20 20%
Data Science And Machine Learning
80% 80
Data Science Tools
100 100%
Data Science Tools
0% 0
AI
0 0%
AI
100% 100
Machine Learning
19 19%
Machine Learning
81% 81

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare PyCaret and IBM Watson Studio

PyCaret Reviews

We have no reviews of PyCaret yet.
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IBM Watson Studio Reviews

The 16 Best Data Science and Machine Learning Platforms for 2021
Description: IBM Watson Studio enables users to build, run, and manage AI models at scale across any cloud. The product is a part of IBM Cloud Pak for Data, the company’s main data and AI platform. The solution lets you automate AI lifecycle management, govern and secure open-source notebooks, prepare and build models visually, deploy and run models through one-click...
Source: solutionsreview.com

Social recommendations and mentions

Based on our record, PyCaret seems to be more popular. It has been mentiond 2 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.

PyCaret mentions (2)

  • How to know what algorithm to apply? THEORY
    Anyway, nowadays there are autoML python packages that once you defined what type of problem you have to solve (e.g. regression, classification) , they automatically train differnt models at once and calculate the best performance. I used a lot the library Pycaret . Source: over 1 year ago
  • 👌 Zero feature engineering with Upgini+PyCaret
    PyCaret - Low-code machine learning library in Python that automates machine learning workflows. Source: almost 2 years ago

IBM Watson Studio mentions (0)

We have not tracked any mentions of IBM Watson Studio yet. Tracking of IBM Watson Studio recommendations started around Mar 2021.

What are some alternatives?

When comparing PyCaret and IBM Watson Studio, you can also consider the following products

PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...

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.

Alteryx - Alteryx provides an indispensable and easy-to-use analytics platform for enterprise companies making critical decisions that drive their business strategy and growth.

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

Pega Platform - The best-in-class, rapid no-code Pega Platform is unified for building BPM, CRM, case management, and real-time decisioning apps.

Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.

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