Software Alternatives & Reviews

machine-learning in Python VS Make.com

Compare machine-learning in Python VS Make.com and see what are their differences

machine-learning in Python logo machine-learning in Python

Do you want to do machine learning using Python, but you’re having trouble getting started? In this post, you will complete your first machine learning project using Python.

Make.com logo Make.com

Tool for workflow automation (Former Integromat)
  • machine-learning in Python Landing page
    Landing page //
    2020-01-13
  • Make.com Landing page
    Landing page //
    2022-07-05

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Zapier vs Integromat - Quick Comparison Review

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  • Review - Introduction to Integromat

Category Popularity

0-100% (relative to machine-learning in Python and Make.com)
Data Science And Machine Learning
Web Service Automation
0 0%
100% 100
Data Dashboard
100 100%
0% 0
Automation
0 0%
100% 100

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Reviews

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Make.com Reviews

Top 9 MuleSoft Alternatives & Competitors in 2024
Make, one of the best Mulesoft alternatives, the ultimate IT process automation tool for enhancing efficiency, productivity, and collaboration. By automating routine tasks, integrating with existing infrastructure, and offering powerful workflow automation, Make empowers your team to streamline processes and achieve remarkable results.
Source: www.zluri.com
Zapier vs. Make.com: Which Automation Tool Will Take the Business Lead?
Make.com offers a cost-effective option for those looking for a business process automation solution, even if it may compromise usability and integration. From your scenario, Make.com seems like a realistic alternative for those with a more limited budget or those willing to work with additional API documentation and webhooks instead of the broader integration that Zapier...
7 Best Zapier Alternatives to Meet Your Integration Needs
Make.com is no different than other tools in this list given that it is a low-code platform, has a drag-and-drop interface, and enables users to automate workflows — which it calls “scenarios”. Make was known as Integromat before its rebranding in 2022, post which they have heavily invested in revamping their website and app UI.
13 data integration tools: a comparative analysis of the top solutions
Make.com is a highly sought-after tool that allows for smooth data integration and transformation. It boasts an array of functionalities including custom app creation, storage for execution logs, and access to over 300 Make API endpoints, expediting the automation of tasks with ease.
Source: blog.n8n.io
10 n8n.io Alternatives
Integromat is a robust integration tool that enables global folks to achieve more in less time with fewer people in the squad. This super simple and effective integration tool enables users to visualize, automate, design, and modify work within minutes. You can connect applications to automate workflows with some simple clicks using it. No credit card is required, and no...

Social recommendations and mentions

Based on our record, machine-learning in Python seems to be more popular. It has been mentiond 7 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.

machine-learning in Python mentions (7)

  • Data science and cybersecurity with python project
    After that you should probably look at some very basic ML tutorials. I just googled it, I have no idea if this is good https://machinelearningmastery.com/machine-learning-in-python-step-by-step/. Source: about 1 year ago
  • Ask HN: How can I learn ML in 6 months as a teenager?
    Few different approaches based on search engine 'ml with python': Work though use cases / examples : https://www.databricks.com/resources/ebook/big-book-of-machine-learning-use-cases On-line class(es) / step by step projects: * https://bootcamp-sl.discover.online.purdue.edu/ai-machine-learning-certification-course * https://www.w3schools.com/python/python_ml_getting_started.asp *... - Source: Hacker News / over 1 year ago
  • Are these CS courses enough CS knowledge for ML engineer?
    MLE: ALL OF THE ABOVE (this is important - pure machine learning skills generally won’t make you hireable unless you’re doing a PhD and/or are a genius) Plus: 1. https://machinelearningmastery.com/machine-learning-in-python-step-by-step/ 2. https://www.coursera.org/learn/machine-learning 3. https://www.3blue1brown.com/topics/neural-networks. Source: about 2 years ago
  • how to do i train an AI
    Have you seen this? https://machinelearningmastery.com/machine-learning-in-python-step-by-step/. Source: over 2 years ago
  • Python Data Science Project Ideas (+References)
    Machine learning models Fine-tune existing machine learning models for improved accuracy, or create your own custom models. - Source: dev.to / over 2 years ago
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Make.com mentions (0)

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

What are some alternatives?

When comparing machine-learning in Python and Make.com, you can also consider the following products

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

Zapier - Connect the apps you use everyday to automate your work and be more productive. 1000+ apps and easy integrations - get started in minutes.

BigML - BigML's goal is to create a machine learning service extremely easy to use and seamless to integrate.

ifttt - IFTTT puts the internet to work for you. Create simple connections between the products you use every day.

Google Cloud TPU - Custom-built for machine learning workloads, Cloud TPUs accelerate training and inference at scale.

Microsoft Power Automate - Microsoft Power Automate is an automation platform that integrates DPA, RPA, and process mining. It lets you automate your organization at scale using low-code and AI.