Apify Reviews

Scikit-learn Reviews

Apify mentions (21)

• Automating Data Collection with Apify: From Script to Deployment

  In this article, I will walk you through everything, from crafting your initial scraping script (Actor) using the Apify SDK for TypeScript to deploying it to the Apify Actors Store for seamless data collection, and then, I will show you how to run your deployed Actor on the Apify platform. With Apify, you don't need to be a programming pro to harness the power of web scraping and start gaining insights. - Source: dev.to / 3 months ago

• Web Scraping in Python – The Complete Guide

  I am surprised nobody mentioned https://apify.com/ and they even offer discount for YC startups as ex-graduate from the YC Combinator program. - Source: Hacker News / 4 months ago

• AI tools I have found useful w/ research. What do you guys think? What did I miss?

  Web Scraping, Data Extraction and Automation · Apify ( https://apify.com/ ). Source: 12 months ago

• How to scrape the web with Puppeteer in 2023

  At this point of the tutorial, I'll take the opportunity to do a bit of self-promotion. I'm the COO of Apify, a cloud platform that helps you develop, run, and maintain your web scrapers easily and efficiently. It comes with tons of features like queue storages and proxies, and it supports Puppeteer without any extra configuration. You can run the above scraper, save results and control everything with a powerful... - Source: dev.to / over 1 year ago

• Web Search and Scrape

  Apify a saas that can be helpful in this situation since you can use its api to call actors from your java code. Source: over 1 year ago

Scikit-learn mentions (28)

• How to Build a Logistic Regression Model: A Spam-filter Tutorial

  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

• Link Prediction With node2vec in Physics Collaboration Network

  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

• WiFilter is a RaspAP install extended with a squidGuard proxy to filter adult content. Great solution for a family, schools and/or public access point

  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

• PSA: You don't need fancy stuff to do good work.

  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

• Help on using R for Machine Learning?

  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