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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.
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
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
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
Have you seen this? https://machinelearningmastery.com/machine-learning-in-python-step-by-step/. Source: over 2 years ago
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
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
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
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
In our example application we will manage dependencies via Composer. - Source: dev.to / 4 months ago
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
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.