Upvoty VS Scikit-learn
Compare Upvoty VS Scikit-learn and see what are their differences
HearBack helps businesses collect and manage customer feedback to improve their Google reviews and online reputation.
featured
Upvoty
Canny.io
UserVoice
Nolt.io
Featurebase
productboard
Frill
hellonext.co
Scikit-learn
Pandas
NumPy
OpenCV
Dataiku
Exploratory
WEKA
htm.java
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 Scikit-learnEasily 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, Scikit-learn seems to be a lot more popular than Upvoty. While we know about 40 links to Scikit-learn, we've tracked only 1 mention of Upvoty. 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
Certutil.exe or notepad.exe opening an external connection lands in rare because, fleet-wide, those processes almost never egress. Tune the <= 3 threshold to your environment size. For a more principled version, score each (process, destination) pair by frequency and treat the long tail as the hunt queue, which is the same idea behind scikit-learn's rarity-based anomaly methods without the model overhead. - Source: dev.to / about 1 month ago
Pre-configured environment. A working VM or container with Jupyter, pandas, scikit-learn, and transformers already installed. Realistic security datasets loaded. GTK Cyber students work in the Centaur VM, a free Apache 2.0 portable lab. If the first hour of training is fighting CUDA installs, the course is not ready. - Source: dev.to / about 2 months ago
Pre-configured environment. A good course ships a VM or container with Jupyter, pandas, scikit-learn, PyTorch or transformers, and realistic security datasets loaded. GTK Cyber students work in the Centaur VM, a free Apache 2.0 portable lab. No setup tax. - Source: dev.to / about 2 months ago
Isolation-based models: Build random decision trees that split features. Points that are isolated quickly (short average path length across trees) are anomalies. IsolationForest in scikit-learn implements this. Handles high-dimensional feature spaces without assuming a distribution. - Source: dev.to / 3 months ago
In practice, youโll want to use libraries (like scikit-learn or TensorFlow.js for more advanced modeling), but the principle remains: find what similar users enjoy, and use that as a basis for recommendations. - Source: dev.to / 4 months ago
Canny.io - Canny helps you collect and organize feature requests to better understand customer needs and prioritize your roadmap.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
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.
NumPy - NumPy is the fundamental package for scientific computing with Python
Nolt.io - A fast & beautiful way to collect user feedback
OpenCV - OpenCV is the world's biggest computer vision library