StatCounter Reviews

Scikit-learn Reviews

StatCounter mentions (16)

• A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev

  StatCounter — Website Viewer Analytics. Free plan for analytics of 500 most recent visitors. - Source: dev.to / 4 months ago

• Linux has reached 4% for the partial Feburary 2024 data on StatCounter

  Could someone explain what I'm looking at? I think this is from `https://statcounter.com/` (?), but that site doesn't load for me at the moment, and there's no readme or description on that (1 star) repo, or its associated account. That partial data is very likely to regress to the mean over the rest of the month- though it's good to see high linux usage (on whatever metric this is tracking). - Source: Hacker News / 4 months ago

• Easy way to see how many unique page visits in Joomla?

  If what you want to see is "visitors" to different pages and not specific IP addresses and you are wary of jumping into Google Analytics, I was just recommended the free version of Statcounter. Source: 12 months ago

• Statcounter.com will not load even after adding the whitelist

  Running PiHole and Unbound on a raspberry pie and https://statcounter.com refuses to load even after adding the domain to the white list. Source: about 1 year ago

• SEO Tools the best out there. Try these

  StatCounter Http://statcounter.com/ Analytics Free, quick, and lightweight analytics solution. Often used by those who want to avoid using Google Analytics for privacy reasons. 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 / 12 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: 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: about 1 year ago