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machine-learning in Python VS Composer

Compare machine-learning in Python VS Composer 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.

Composer logo Composer

Composer is a tool for dependency management in PHP.
  • machine-learning in Python Landing page
    Landing page //
    2020-01-13
  • Composer Landing page
    Landing page //
    2023-09-19

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Composer videos

AI vs Human Music Composer 2019 - Orb Composer Review

More videos:

  • Review - Review Composer Cloud from EastWest / Soundsonline.com
  • Review - Behringer Composer PRO-XL MDX2600 Review (AUDIO TEST)

Category Popularity

0-100% (relative to machine-learning in Python and Composer)
Data Science And Machine Learning
Development Tools
0 0%
100% 100
Data Dashboard
100 100%
0% 0
Javascript UI Libraries
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, Composer seems to be a lot more popular than machine-learning in Python. While we know about 126 links to Composer, we've tracked only 7 mentions of machine-learning in Python. 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: over 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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Composer mentions (126)

  • Creating a RESTful API with Flight Framework
    First, let's set up Flight and create our project. You can download Flight from its GitHub repository or installed via composer. Composer is generally the way to go. - Source: dev.to / 2 days ago
  • 📚 How to see what changed in Composer files
    That's because Composer stores information about all packages that should be installed in composer.lock together with some of their metadata. This helps to manage the dependencies efficiently and browse most information offline but there is currently no built-in way to compare these files when changed. - Source: dev.to / about 1 month ago
  • From Beginner to Master: The Path to Becoming a PHP Guru
    Delving into PHP frameworks like Laravel or Symfony is like building a skyscraper, with Composer acting as your "construction foreman," guiding you step by step to ensure your code is robust and awe-inspiring. This stage involves getting familiar with popular PHP frameworks such as Laravel, Symfony, CodeIgniter, etc., and utilizing the functionalities provided by these frameworks to rapidly develop efficient,... - Source: dev.to / 3 months ago
  • Routing implementation using PHP attributes
    In our example application we will manage dependencies via Composer. - Source: dev.to / 4 months ago
  • PHP Authentication: Implementing Access Token
    Our project template is equipped with Composer and an autoload class pre-installed. This inclusion in the repository streamlines the setup process, particularly for this access-token course. Composer, a dependency manager for PHP, simplifies the integration of external libraries and ensures efficient autoloading of classes. It plays a pivotal role in managing project dependencies, enabling developers to focus more... - Source: dev.to / 3 months ago
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What are some alternatives?

When comparing machine-learning in Python and Composer, 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.

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

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

React Native - A framework for building native apps with React

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

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