Scikit-learn VS Bright Data

Scikit-learn Reviews

Bright Data Reviews

1. Sam Mitchell

   | Owner at KittenProperties | 2 months ago
   Mixed feelings

   We used their DC proxies and Residential proxies. Resi proxies were having quite low success rate. We had to use resi solution from other proxy providers. Unblocker didn't work well either also it was way too expensive.

   🏁 Competitors: Smartproxy, NetNut.io

   👍 Pros:    Cheap dc proxies

   👎 Cons:    Quite expensive|Residential proxies are worse than competitiors

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 / 2 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 / 11 months 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: 12 months 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: about 1 year ago

Bright Data mentions (28)

• Basic Web Browser with Electron +APIS

  Bright Data (formerly Luminati): One of the largest providers with a wide range of customization options and a large number of IPs available. However, their pricing and usage structure can be complex, especially for new users (Proxyway). - Source: dev.to / 12 days ago

• Scraping the unscrapable in Python using Playwright

  Create a new account on Bright Data to gain access to the admin dashboard of the Scraping Browser for the proxy integration with your application. - Source: dev.to / 11 months ago

• Web scraping using a headless browser in NodeJS

  Create an account on Bright Data to access all its services. But for this project, the focus would be on the Scraping Browser functionality. - Source: dev.to / 11 months ago

• Private subnet to public NAT to another Public AWS IP address should go public internet, right?

  Luminati, now called https://brightdata.com offers a service which would grant access to residual IPs. Source: 11 months ago

• Is allowed to scrape data using puppeteer from gg.deals?

  I have found all the required html classes and tools to scrape gg.deals website to get the required data for my discord bot. My question is if I am allowed to do that to this specific website without a WebSocket proxy scraping browser like bright data's one or any freely available on the internet. I have tried to contact them using this contact form two times and got nothing as a response. I also found their... Source: about 1 year ago