Heurio
Heurix.io
Pastel
UX Check
BugHerd
Usersnap
UX Companion
MeetVolley
Scikit-learn
Pandas
OpenCV
NumPy
Dataiku
WEKA
Exploratory
htm.java
Heurio is here to revolutionize your website reviews! Use the extension to make comments and collaborate directly on any live website. Leave prioritized notes, assign actionable change requests, do UX or copy reviews in a user-friendly and collaborative way.
🚀 By using Heurio, you are always just one click away from starting a review on any live website. Just turn on the Heurio extension, make some comments (heurios) and share your project with others.
You'll find Heurio a real productivity booster in various review projects, e.g.:
✅ UX/UI Design Review ✅ Development Review ✅ UX Audit ✅ Copywriting ✅ Heuristic Evaluation ✅ QA Testing ✅ Expert Reviews, ✅ Bug Report, ✅ Getting user feedback, and more...
Heurio Scikit-learnBased on our record, Scikit-learn seems to be more popular. It has been mentiond 29 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.
How to Accomplish: Utilize data splitting tools in libraries like Scikit-learn to partition your dataset. Make sure the split mirrors the real-world distribution of your data to avoid biased evaluations. - Source: dev.to / 15 days ago
Online Courses: Coursera: "Machine Learning" by Andrew Ng EdX: "Introduction to Machine Learning" by MIT Tutorials: Scikit-learn documentation: https://scikit-learn.org/ Kaggle Learn: https://www.kaggle.com/learn Books: "Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow" by Aurélien Géron "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani, and Jerome Friedman By... - Source: dev.to / 4 months ago
Firstly, we need a connection to Memgraph so we can get edges, split them into two parts (train set and test set). For edge splitting, we will use scikit-learn. In order to make a connection towards Memgraph, we will use gqlalchemy. - Source: dev.to / about 1 year ago
The ML component is based on scikit-learn which differentiates it from purely list-based filters. It couples this with a full-featured wireless router (RaspAP) in a single device, so it fulfills the needs of a use case not entirely addressed by Pi-hole. Source: about 1 year ago
Finally, when it comes to building models and making predictions, Python and R have a plethora of options available. Libraries like scikit-learn, statsmodels, and TensorFlowin Python, or caret, randomForest, and xgboostin R, provide powerful machine learning algorithms and statistical models that can be applied to a wide range of problems. What's more, these libraries are open-source and have extensive... Source: about 1 year ago
Heurix.io - Heurix is a free heuristic evaluation tool that helps you work out how to improve your website.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Pastel - Sticky note-based feedback collection tool for live websites
OpenCV - OpenCV is the world's biggest computer vision library
UX Check - Easy heuristic evaluations on your website (chrome ext.)
NumPy - NumPy is the fundamental package for scientific computing with Python
