Software Alternatives & Reviews

machine-learning in Python VS Scikit-learn

Compare machine-learning in Python VS Scikit-learn and see what are their differences


Do you want to do machine learning using Python, but you’re having trouble getting started? In this post, you will complete your first machine learning project using Python.

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

machine-learning in Python details

Categories
Data Dashboard Data Science And Machine Learning Technical Computing
Website machinelearningmastery.com  

Scikit-learn details

Categories
Data Science And Machine Learning Data Dashboard Data Science Tools
Website scikit-learn.org  

machine-learning in Python videos

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Scikit-learn videos

Learning Scikit-Learn (AI Adventures)

More videos:

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

Category Popularity

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Social recommendations and mentions

Based on our record, Scikit-learn should be more popular than machine-learning in Python. It has been mentiond 7 times since March 2021. We are tracking product recommendations and mentions on Reddit, HackerNews and some other platforms. They can help you identify which product is more popular and what people think of it.

machine-learning in Python mentions (2)

Scikit-learn mentions (7)

  • Top 10 Python Libraries for Machine Learning
    Website: https://scikit-learn.org/ Github Repository: https://github.com/scikit-learn/scikit-learn Developed By: SkLearn.org Primary Purpose: Predictive Data Analysis and Data Modeling. - Source: dev.to / about 2 months ago
  • Use Scikit-Learn and Runflow
    If you're not familiar with Scikit-learn and Runflow,. - Source: dev.to / 4 months ago
  • What Makes Python Libraries So Important For Data Science Learning?
    Next comes the complexity of drawing the maximum possible number of valuable insights. Using different python libraries such as Scikit-Learn, PyTorch, Pandas, etc., complications of data analysis can be solved within a minute. And the complexity associated with visualisation gets handled by other data visualisation libraries like Matploitlib, PyTorch, etc. - Source: Reddit / 4 months ago
  • Introduction to Machine Learning with Python and Repl.it
    The maths, specifically calculus and linear algebra, behind machine learning gets a bit hairy. We’ll be abstracting this away with the Python library scikit-learn, which makes it possible to do advanced machine learning in a few lines of Python. - Source: dev.to / 6 months ago
  • Something like The Odin Project but for Python and Machine Learning?
    I would recommend starting with scikit and some popular data set (e.g. titanic). - Source: Reddit / 7 months ago
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What are some alternatives?

When comparing machine-learning in Python and Scikit-learn, you can also consider the following products

BigML - BigML's goal is to create a machine learning service extremely easy to use and seamless to integrate.

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

Google Cloud TPU - Custom-built for machine learning workloads, Cloud TPUs accelerate training and inference at scale.

OpenCV - OpenCV (Open Source Computer Vision) is a library of programming functions for real time computer...

python-recsys - python-recsys is a python library for implementing a recommender system.

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

User reviews

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