Bitly Reviews

1. Deepak Kumar

   | Editor at einsstark.tech | about 4 years ago
   Bitly Review - Amazing Experience.

   Bitly is a URL shortening service and a link management platform. The company Bitly, Inc., was established in 2008. It is privately held and based in New York City. Bitly shortens 600 million links per month, for social networking, SMS, and email. Bitly makes money by charging for access to aggregate data created because of many people using the shortened URLs.

   The Bitly URL shortening service became popular on Twitter after it became the default URL shortening service on the website on May 6, 2009. It was subsequently replaced by Twitter's own t.co service.

   The company uses HTTP 301 redirects for its links. The shortcuts are intended to be permanent and cannot be changed once they are created. URLs that are shortened with the bitly service use the bit.ly domain or any other generic domain that the service offers.

   🏁 Competitors: Rebrandly, TinyURL, Polr

Scikit-learn Reviews

Bitly mentions (18)

• Testing Svelte on the job

  The app I built was to function as the admin side of a URL shortener (something like bit.ly) so that one of our teams can convert long bookmarks into more shareable links so we can generate QR codes that another department on our team would use in their day-to-day tasks. - Source: dev.to / 4 months ago

• Bit.ly no longer offers URL shortening without account

  I have been using https://bitly.com and I was always able to shorten a link without account but now I am forced to create an account. - Source: Hacker News / 12 months ago

• How to Add a Link to Instagram Bio

  Bitly is one of the most popular URL shorteners on the market that allows you to create short links for free with minimum steps required from you. To shorten your URL, you only need to register, and then you're free to create a limitless amount of links. Whenever you use Bitly, you automatically create a tracking and analysis page for this link. Source: over 1 year ago

• System Design: The complete course

  Let's design a URL shortener, similar to services like Bitly, TinyURL. - Source: dev.to / almost 2 years ago

• Creating a URL Shortener service in Python Django

  URL shorteners have become a popular service on the web. Companies like bitly are making great fortunes from them. But sometimes when you want a custom URL you get to pay for the service. So in this tutorial I am going to show you how to build a URL shortener service in Django. - Source: dev.to / almost 2 years ago

Scikit-learn mentions (29)

• Essential Deep Learning Checklist: Best Practices Unveiled

  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 / 22 days ago

• 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 / 4 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