Based on our record, puppeteer should be more popular than Scikit-learn. It has been mentiond 104 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.
This project tests how the browser language can be changed with Puppeteer. It implements multiple options to set the language of Chrome and checks each option against BrowserLeaks to see how it affected the JavaScript proeprties and HTTP headers available by the browser. For more information, see my article The Puppeteer Language Experiment on DEV.to. - Source: dev.to / about 2 months ago
In Crawlee, you can scrape JavaScript rendered websites using the built-in headless Puppeteer and Playwright browsers. It is important to note that, by default, Crawlee scrapes in headless mode. If you don't want headless, then just set headless: false. - Source: dev.to / about 2 months ago
I am not in any way associated with the developers at puppeteer, but if you are looking for a way to contribute, they are open source. - Source: dev.to / 2 months ago
Puppeteer is a Node library that provides a high-level API to control headless Chrome or Chromium. It's primarily used for browser automation, making it a powerful tool for end-to-end testing of web applications, taking screenshots, and generating pre-rendered content from web pages. - Source: dev.to / 4 months ago
While similar to Puppeteer, Cypress, and Selenium, there are some differences. Let’s find out what they are. - Source: dev.to / 9 months ago
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 / 17 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
Selenium - Selenium automates browsers. That's it! What you do with that power is entirely up to you. Primarily, it is for automating web applications for testing purposes, but is certainly not limited to just that.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Cypress.io - Slow, difficult and unreliable testing for anything that runs in a browser. Install Cypress in seconds and take the pain out of front-end testing.
OpenCV - OpenCV is the world's biggest computer vision library
Playwright - Playwright is automation software for Chromium, Firefox, Webkit using the Node.js library having a single API in place.
NumPy - NumPy is the fundamental package for scientific computing with Python