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Tweeten 2 VS Scikit-learn

Compare Tweeten 2 VS Scikit-learn and see what are their differences

LibHunt
LibHunt tracks mentions of software libraries on relevant social networks. Based on that data, you can find the most popular projects and their alternatives. featured
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Tweeten 2 logo Tweeten 2

A powerful Twitter client based on TweetDeck.

Scikit-learn logo Scikit-learn

scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
  • Tweeten 2 Landing page
    Landing page //
    2023-10-16
  • Scikit-learn Landing page
    Landing page //
    2022-05-06

Tweeten 2 videos

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Scikit-learn videos

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Learning Scikit-Learn (AI Adventures)

More videos:

  • Review - Python Machine Learning Review | Learn python for machine learning. Learn Scikit-learn.

Category Popularity

0-100% (relative to Tweeten 2 and Scikit-learn)

Tweeten 2

Scikit-learn

Twitter Tools
100 100%
Twitter Tools
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Twitter
100 100%
Twitter
0% 0
Data Science Tools
0 0%
Data Science Tools
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Tweeten 2 and Scikit-learn

Tweeten 2 Reviews

7 TweetDeck Alternatives You Should Start Thinking About
Developed by @mehedih_ and @gus33000, Tweeten is basically TweetDeck after a spot of technical Botox! Available on Chrome, Windows, OS X, Linux, Chrome, Edge, and Firefox, this is a nice little platform that picks up where TweetDeck left off. In fact, some say Tweeten is better as it was built with Electron. Electron was initially designed for GitHub’s Atom Editor but since...
Source: www.agorapulse.com

Scikit-learn Reviews

15 data science tools to consider using in 2021
Scikit-learn is an open source machine learning library for Python that's built on the SciPy and NumPy scientific computing libraries, plus Matplotlib for plotting data. It supports both supervised and unsupervised machine learning and includes numerous algorithms and models, called estimators in scikit-learn parlance. Additionally, it provides functionality for model...
Source: searchbusinessanalytics.techtarget.com

Social recommendations and mentions

Based on our record, Scikit-learn seems to be a lot more popular than Tweeten 2. While we know about 28 links to Scikit-learn, we've tracked only 1 mention of Tweeten 2. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Tweeten 2 mentions (1)

  • An absurd website blocking by india
    Https://tweetenapp.com/ just appears to have gotten on the block while it was fine before. Not sure how this has happened. It is just a tweetdeck app. Source: almost 3 years 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
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What are some alternatives?

When comparing Tweeten 2 and Scikit-learn, you can also consider the following products

TweetDeck - TweetDeck is your personal browser for staying in touch with what’s happening now.

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

Tweetbot - Sync your timeline across your iPhone, iPad, and Mac. Mute tweets by user, hashtag, tweet source, or keywords (including regex). 3rd Party support for image, video, read later, and timeline sync services.

OpenCV - OpenCV is the world's biggest computer vision library

Refined Twitter - A browser extension that improves the Twitter experience

NumPy - NumPy is the fundamental package for scientific computing with Python

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