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Tailwind UI
machine-learning in PythonNo machine-learning in Python videos yet. You could help us improve this page by suggesting one.
Based on our record, Tailwind UI seems to be a lot more popular than machine-learning in Python. While we know about 213 links to Tailwind UI, 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.
Tailwind UI is a commercial component library, but even the free examples teach you solid patterns for responsive design and component architecture. I learned a lot just by reading through their example code. - Source: dev.to / 10 months ago
Studying existing component systems is a great starting point. You have to imitate and respect the systems that already exist before you can innovate on new things from scratch. I'd recommend starting by reading, building with, and imitating the most well-known frameworks for some personal projects. You can also find some good Figma projects to get started with on each of these. https://tailwindui.com/. - Source: Hacker News / almost 2 years ago
Require base_path('views/partials/head.php') ?> require base_path('views/partials/nav.php') ?> class="flex min-h-full items-center justify-center py-12 px-4 sm:px-6 lg:px-8"> class="w-full max-w-md space-y-8"> class="mx-auto h-12 w-auto" src="https://tailwindui.com/img/logos/mark.svg?color=indigo&shade=600" alt="Your Company"> ... - Source: dev.to / about 2 years ago
There's https://tailwindui.com/?ref=top, from the Tailwind CSS people. They come with a "HTML" mode, which I think means no JS. But if you need interactivity, on the web it has to be JS, because that's the only thing that can manipulate the DOM. The alternative would be something like a server-updated Canvas where the UI is done outside of the DOM and not in the client, but even that would need some JS shims just... - Source: Hacker News / about 2 years ago
If you want to learn more, you can access many ready-to-use templates and components thanks to Tailwind's vibrant community, and products such as TailwindUI (from Tailwind's creators). - Source: dev.to / about 2 years ago
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 3 years 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 3 years ago
MLE: ALL OF THE ABOVE (this is important - pure machine learning skills generally wonโt make you hireable unless youโre 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: over 4 years ago
Have you seen this? https://machinelearningmastery.com/machine-learning-in-python-step-by-step/. Source: over 4 years ago
Machine learning models Fine-tune existing machine learning models for improved accuracy, or create your own custom models. - Source: dev.to / over 4 years ago
Tailwind CSS - A utility-first CSS framework for rapidly building custom user interfaces.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
DaisyUI - Free UI components plugin for Tailwind CSS
BigML - BigML's goal is to create a machine learning service extremely easy to use and seamless to integrate.
Bootstrap - Simple and flexible HTML, CSS, and JS for popular UI components and interactions
Google Cloud TPU - Custom-built for machine learning workloads, Cloud TPUs accelerate training and inference at scale.