Usersnap
BugHerd
Marker.io
Userback
Canny.io
Hotjar
Pastel
Frill
Scikit-learn
Pandas
NumPy
OpenCV
Dataiku
Exploratory
WEKA
htm.java
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 Scikit-learnUsersnap 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.
Based on our record, Scikit-learn should be more popular than Usersnap. It has been mentiond 40 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
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 2 months 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 / 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 / 5 months ago
BugHerd - BugHerd: The Website Feedback Tool for Agencies
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Marker.io - Visual feedback and bug reporting tool for websites
NumPy - NumPy is the fundamental package for scientific computing with Python
Userback - Userback empowers product teams to collect, understand, and act on user feedback with unprecedented speed and clarity.
OpenCV - OpenCV is the world's biggest computer vision library