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Scikit-learn VS MKVCleaver

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

Scikit-learn logo Scikit-learn

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

MKVCleaver logo MKVCleaver

MKVcleaver is a GUI (Graphical User Interface) for mkvtoolnix, designed to extract data from MKV...
  • Scikit-learn Landing page
    Landing page //
    2022-05-06
  • MKVCleaver Landing page
    Landing page //
    2023-04-06

Scikit-learn videos

Learning Scikit-Learn (AI Adventures)

More videos:

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

MKVCleaver videos

How it works: MKVcleaver

Category Popularity

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Data Science And Machine Learning
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100% 100
Data Science Tools
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Video Converter
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User comments

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Reviews

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

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...

MKVCleaver Reviews

We have no reviews of MKVCleaver yet.
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Social recommendations and mentions

Based on our record, Scikit-learn seems to be a lot more popular than MKVCleaver. While we know about 28 links to Scikit-learn, we've tracked only 2 mentions of MKVCleaver. 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 / 2 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 / 11 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: 12 months 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
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MKVCleaver mentions (2)

  • How Can I Extract Subtitle As Srt File?
    It's not converting.. In it's still in a mkv package, but just named mks to denote that it only contains a subtitle. Download cleaver or gmkvextractgui to extract. Source: about 1 year ago
  • Audio mix question
    Grab the two files again, and use mkvcleaver or Inviska MKV Extract to rip the tracks that you want. Save them in a temporary folder. Source: almost 2 years ago

What are some alternatives?

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

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

MKVToolnix - MKVToolnix is a set of tools to create, alter and inspect Matroska files under Linux, other Unices...

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

tsMuxeR - tsMuxeR update for 3D blu-ray (HD) DVD & Blu-ray authoring

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

Mkv2vob - Converts mkv files and srt subtitles into a format readable by the Playstation 3.