Based on our record, Apache Cordova should be more popular than Scikit-learn. It has been mentiond 43 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.
Anyone have experience with/opinions on Apache Cordova? [1] It seems like it would solve most of the PWA issues. Although I vaguely recall reading that Apple is not too fond of apps that are basically just wrapped web views. [1] https://cordova.apache.org/. - Source: Hacker News / 4 months ago
Has anyone tried pwa builder?[2] Thank you for any insights! [0]https://cordova.apache.org/. - Source: Hacker News / 4 months ago
A little over a decade ago, I worked on the open-source project Apache Cordova/Adobe PhoneGap, first at IBM and later at Adobe. Apache Cordova enables you to build mobile applications using HTML, CSS and JavaScript while targeting multiple platforms with one code base. In today’s technology landscape, mobile is dominated by iOS and Android. In the early 2010’s we were awash in mobile platforms from BlackBerry,... - Source: dev.to / over 1 year ago
There are layers that offer access to native APIs like capacitor, cordova and nativescript. Apparently sometimes multiple of them should be used, but I didn't understand what are the differences even after reading the announcement. These seem to be frontend agnostic technologies and Capacitor is apparently the more modern choice at the moment. Source: over 1 year ago
To be honest, we have not only Capacitor but also Cordova which Capacitor is based on but because Capacitor is more popular, has better community, deals with some problems better, and works beautifully with Ionic Framework I will tell more in a second, I simply recommend Capacitor. - Source: dev.to / over 1 year 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 / 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: about 1 year ago
React Native - A framework for building native apps with React
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
PhoneGap - Easily create apps using the web technologies you know and love: HTML, CSS, and JavaScript.
OpenCV - OpenCV is the world's biggest computer vision library
Ionic - Ionic is a cross-platform mobile development stack for building performant apps on all platforms with open web technologies.
NumPy - NumPy is the fundamental package for scientific computing with Python