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machine-learning in Python
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Usersnap is more than a platform to collect and manage feedback: we pave the road for customer-led growth. Usersnap helps digital products increase feedback interactions and gather insights on customer problems. How?
Usersnap empowers startups to agile enterprises to avoid failures and build products that matter, all with the clarity of customer feedback.
Usersnap machine-learning in PythonUsersnap is highly recommended for development and design teams, project managers, and customer support teams who need a reliable tool to gather feedback, track bugs, and ensure higher quality in their software development process.
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Based on our record, machine-learning in Python should be more popular than Usersnap. 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.
We are using User Snap. https://usersnap.com/. Source: about 3 years ago
Https://usersnap.com/ could be an option. - Source: Hacker News / almost 4 years ago
Accelerate growth of your business with the right customer feedback! We provide some proven strategies and tactics to prioritize customer experience for increased revenue. Source: over 4 years ago
Indicate how well your product perform with the help of user feedback! This helps you to identify areas where you still fall short and improve them by taking active measures. Source: almost 5 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
BugHerd - BugHerd: The Website Feedback Tool for Agencies
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Marker.io - Visual feedback and bug reporting tool for websites
BigML - BigML's goal is to create a machine learning service extremely easy to use and seamless to integrate.
Userback - Userback empowers product teams to collect, understand, and act on user feedback with unprecedented speed and clarity.
Google Cloud TPU - Custom-built for machine learning workloads, Cloud TPUs accelerate training and inference at scale.
