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Oxylabs might be a bit more popular than machine-learning in Python. We know about 9 links to it since March 2021 and only 7 links to 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
Utilize Residential Proxies: Residential proxies come with the advantage of having whitelisted IPs tied to real devices, making them reliable for web scraping and anonymous browsing. Providers like Oxylabs, SOAX, and NetNut offer residential proxy services that can cater to your specific needs. Source: 7 months ago
To begin scraping data, you have to decide which platform data you want to scrap. While it is easy to scrap data, some platforms prevent access to scraping of it data and you will have to use a third-party tool like ZenRows or Oxylabs just to mention a few. - Source: dev.to / 7 months ago
Have you tried Oxylabs? They have both residential and datacenter proxies. But I’ve heard their speed is not that great, so do your research. Source: about 1 year ago
Just know that this is what they do as a side gig using their clients as endpoints. Source: about 1 year ago
Ok ended up just going with oxylabs.io. Couldn't figure it out. Source: over 1 year ago
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Bright Data - World's largest proxy service with a residential proxy network of 72M IPs worldwide and proxy management interface for zero coding.
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Smartproxy - Smartproxy is perhaps the most user-friendly way to access local data anywhere. It has global coverage with 195 locations, offers more than 40M residential proxies worldwide and a great deal of scraping solutions.
Google Cloud TPU - Custom-built for machine learning workloads, Cloud TPUs accelerate training and inference at scale.
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