Balsamiq might be a bit more popular than Scikit-learn. We know about 30 links to it since March 2021 and only 28 links to Scikit-learn. 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.
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 / 3 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 / 12 months 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
Scikit-learn is a machine learning library that comes with a number of pre-built machine learning models, which can then be used as python wrappers. Source: over 1 year ago
A few apps that are a joy to use: https://ia.net/writer for writing. https://usecontrast.com/ for checking contrast. https://sipapp.io/ for picking colors. https://nova.app/ for editing code. https://cleanshot.com/ for screenshots. https://getpixelsnap.com/ for measuring elements on screen. https://netnewswire.com/ for reading things via RSS. https://panic.com/transmit/ for file transfers. https://usefathom.com/... - Source: Hacker News / 6 months ago
I think the best practical approach for designing UIs is to download (and buy) Balsamic[0] and use that to design UIs. Cut through the nonsense of colours and pixels in the first instance and just lay things out logically and simply. [0] https://balsamiq.com. - Source: Hacker News / 6 months ago
Create a low-fidelity mockup or wireframe of your MVP using tools like Balsamiq, Sketch, or Figma. Or use an easier-to-use tool like Uizard, which also has text-to-design capabilities. Source: 10 months ago
Just for drawing mock app screens, I have found Balsamiq[0] to be pretty good (you can do a bunch of stuff with the trial version itself). Not affiliated with them in any way. [0]: https://balsamiq.com/. - Source: Hacker News / 12 months ago
Balsamiq has been pretty good for me so far. It's super bare-bones so it's better for copy mockups than actual UX design. It's also a lot easier than Figma. Note that you don't have to use the default comic sans, but I do because it's funny. Source: over 1 year ago
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Invision - Prototyping and collaboration for design teams
OpenCV - OpenCV is the world's biggest computer vision library
Moqups - The most stunning HTML5 app for creating resolution-independent SVG mockups, wireframes & interactive prototypes for your next project
NumPy - NumPy is the fundamental package for scientific computing with Python
Zeplin - Collaboration app for UI designers & frontend developers