machine-learning in Python
Scikit-learn
BigML
Google Cloud TPU
python-recsys
Qubole
Amazon Forecast
Microsoft Bing Image Search API
Stackshare
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Based on our record, Stackshare should be more popular than machine-learning in Python. It has been mentiond 26 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.
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
For web apps, see https://stackshare.io/ For many desktop apps, if you go into Help > About, you'll see a list of all the open source libraries used, and their associated licenses (as required by the license). In Chrome, go to chrome://credits/. - Source: Hacker News / about 2 years ago
Stackshare - Aimed for companies building their technical stack. - Source: dev.to / about 2 years ago
I don't know much about 'influencers' but https://builtwith.com/ is good for seeing what some public facing website is built with, https://stackshare.io/ tends to have a little more information about backends of sites and https://usesthis.com/ has a lot of interviews with various people about what they use. Source: over 3 years ago
You could look at https://stackshare.io/ for some inspiration or validation. Source: over 3 years ago
- look at databases of tech stacks (https://stackshare.io/ is one), the company websites where any logos were mentioned, anywhere we could get an info that this company was using one of the alternative tools. - Source: Hacker News / over 3 years ago
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
AlternativeTo - AlternativeTo lets you find apps and software for Windows, Mac, Linux, iPhone, iPad, Android, Android Tablets, Web Apps, Online, Windows Tablets and more by recommending alternatives to apps you already know.
BigML - BigML's goal is to create a machine learning service extremely easy to use and seamless to integrate.
Product Hunt - A website that lets users share and discover new products
Google Cloud TPU - Custom-built for machine learning workloads, Cloud TPUs accelerate training and inference at scale.
Slant.co - Slant is a collaboratively edited resource that helps you quickly make decisions.
