Freedom.to Reviews

Scikit-learn Reviews

Freedom.to mentions (184)

• [NeedAdvice] 20 Years old with no discipline. Morning Routine?

  I found it hard to stick to, so I use this app which seems to work quite well: https://freedom.to. Source: 6 months ago

• Looking for the right app

  Apps I have tried and are not enough: - https://heyfocus.com/ - https://freedom.to/ - https://selfcontrolapp.com/ - https://www.forestapp.cc/ - https://www.rescuetime.com/. Source: 7 months ago

• Cognitive Load and Your Development Environment

  There are plenty of apps and organizational systems that will help you remember future tasks and reduce distractions. For example, Focus blocks distractions and schedules your breaks and Freedom will block distractions on all of your devices at once. - Source: dev.to / 9 months ago

• Developing habits I should’ve developed as a child

  Freedom. For $2.50 a month, Freedom will block all social media sites on all your devices during hours you specify. Source: 8 months ago

• 25 Best Productivity Apps: 2023 Review Guide

  Ever find yourself unable to pull away from the digital distractions that disrupt your workflow? Well, Freedom is one of the best distraction-blocking apps that allows you to block websites, mobile apps, and any other digital distractions that prevent you from getting things done. Users can create personalized schedules that temporarily block access to distracting websites, apps, and even the entire internet if... - Source: dev.to / 10 months 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: over 1 year ago