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scikit-learn
59 reviews
- 1 profiles
- 1 categories
Average star rating
4.8
Serving customers since
2018
scikit-learn Reviews
YB
YOGESH B.
Scikit is the base machine learning platform
It is the platform machine learning, easy to learn, easy to test
provides all the capability that any machine learning platform should have, lot of algorithms like encoders - binary encoder, one hot encoder
provides implementation for all supervised and un-supervised learning
provides all the ability to validate the model
we can integrate easilty with mat plotlib, pandas, numpy and for serialisers
lot of specific example tutorials in internet available for the beginners
It is open source and totally free
lot of the other open source and many propriatry products for ml are developed on top of the sci kit library
as it provides python interface easy to learn and integrate with many other platforms
UI
Verified User in Information Technology and Services
Super Useful for machine learning
Amazingly useful tool set for machine learning and data science work. Personally use it in python and it's really helpful. Some popular package such as pandas, numpy and matplotlib add it even more values. I always use it besides neural networks and yield solution as a combination, and the solution gives the best result often comes from it, by working on different points.
UC
Verified User in Computer Software
Meant for almost all Machine Learning needs
I like the fact that it includes a ton of functionalities and incorporates almost all of the Machine Learning algorithms meant for supervised and unsupervised learning.
It can be used to develop various regression, classification and clustering algorithms.
It utilizes a range of machine learning, preprocessing, cross-validation and visualization algorithms.
It provides three Regression Metrics namely Mean Absolute Error, Mean Squared Error, R² Score.
It also provides three Classification Metrics namely Accuracy Score, Classification Report, Confusion Matrix.
Additionally, it provides three Clustering Metrics namely Adjusted rand Index, Homogeneity, V-measure.
About
What is scikit-learn?
Scikit-learn is an open-source machine learning library for the Python programming language. It provides simple and efficient tools for data analysis and modeling, making it accessible to both beginners and experienced data scientists. Scikit-learn supports various supervised and unsupervised learning algorithms, including regression, classification, clustering, and dimensionality reduction. It is built on top of other scientific libraries such as NumPy, SciPy, and matplotlib, ensuring seamless integration into the broader Python data science ecosystem. The library emphasizes ease of use, performance, and interoperability, making it a popular choice for developing machine learning applications.
Details
Year Founded
2018
Website
scikit-learn.orgHunting for software insights?
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