Upvoty
Canny.io
UserVoice
Nolt.io
Featurebase
productboard
Frill
hellonext.co
machine-learning in Python
Scikit-learn
BigML
Google Cloud TPU
python-recsys
Qubole
Amazon Forecast
Microsoft Bing Image Search API
With Upvoty you are able to collect and manage valuable feedback from your users in 1 simple overview. You can also share your product roadmap to show your users what's next. Turn user feedback into actionable product optimizations! Try it for free!
Upvoty machine-learning in PythonNo machine-learning in Python videos yet. You could help us improve this page by suggesting one.
Easily migrated from another tool, our team and users are loving Upvoty thus far, now 5 months in.
We use upvoty for a few months now, every month they add some new cool features. They listen to their customers very carfully. They should be, otherwise their tool does not work :-D
I have been waiting a long time for a beautiful and easy to use feedback tool - Upvoty is it. Upvoty also nails all the little things.
This tool really helps our customers provide feedback and priorities to our Product, and Development teams. We were able to implement this directly into our app which creates a seamless experience for our users.
Based on our record, machine-learning in Python should be more popular than Upvoty. It has been mentiond 7 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.
๐ฌ User feedback: From the very start, we listened really carefully to the feedback of our users (of course by using our own product - upvoty.com). This resulted in us building a product that was valuable and people actually wanted to pay for it. Source: over 4 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
Canny.io - Canny helps you collect and organize feature requests to better understand customer needs and prioritize your roadmap.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
UserVoice - UserVoice integrates easy-to-use feedback, helpdesk, and knowledge base management tools in one platform that empowers users to speak and companies to understand.
BigML - BigML's goal is to create a machine learning service extremely easy to use and seamless to integrate.
Nolt.io - A fast & beautiful way to collect user feedback
Google Cloud TPU - Custom-built for machine learning workloads, Cloud TPUs accelerate training and inference at scale.
