Scikit-learn VS Tweetbot

Compare Scikit-learn VS Tweetbot and see what are their differences

Walls.io

Walls.io is an all-in-one social wall solution that allows you to collect, curate, and display content in an easy-to-customize feed. You can collect content from multiple social media platforms or let your audience post content directly on your wall. featured

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Scikit-learn

scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

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.

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2022-05-06

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2023-03-13

Learning Scikit-Learn (AI Adventures)

Tweetbot videos

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What's New in Tweetbot 5!

Category Popularity

0-100% (relative to Scikit-learn and Tweetbot)

Scikit-learn

Tweetbot

Data Science And Machine Learning

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Data Science And Machine Learning

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Twitter Tools

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Twitter Tools

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Data Science Tools

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Data Science Tools

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Twitter Automation

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Twitter Automation

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User comments

Share your experience with using Scikit-learn and Tweetbot. For example, how are they different and which one is better?

Reviews

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

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

Tweetbot Reviews

7 TweetDeck Alternatives You Should Start Thinking About

Tweetbot is a Twitter management tool for the Mac, iPhone and iPad. It can help you manage multiple accounts and lists and with its iCloud capabilities you can certainly expect more. However, at $19.99 per month on the Mac App Store it is a pretty pricey choice for a mobile only app. Personally, I would prefer to pay a licence for a desktop which also includes an app.

Source: www.agorapulse.com

Social recommendations and mentions

Based on our record, Scikit-learn seems to be a lot more popular than Tweetbot. While we know about 28 links to Scikit-learn, we've tracked only 1 mention of Tweetbot. 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.

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