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scikit-learn

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4.8 out of 5 stars
60 reviews
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4.8
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2018

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scikit-learn Reviews

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Stanley D.
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Stanley D.
Data Engineer at RETINA-AI Health, Inc.
07/04/2019
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Machine Learning made easy with Scikit-learn

|scikit-learn
1. I love the fact that I can try out a variety of machine learning algorithms without having to build them from scratch. I just call them using functions already available. 2. Scikit-learn provides users with a function to split a given dataset into train and validation data by just passing a split ratio only. 3. Scikit-learn easily integrates with other deep learning frameworks.
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GC
Verified User in Computer Software
07/03/2019
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The best python Machine Learning Library

|scikit-learn
Scikit learn is simply wonderful. It abstracts away all the complexities of several machine learning frameworks. Scikit learn provides beautiful one line function calls to really complex functions and the documentation is beautiful. A complete noob can go through their documentation and understand since it is human readable. In addition to top machine learning models ranging from random forest, decision trees and linear regression, they also provide libraries for data preprocessing. You can do data preprocessing, one hot encoding and lots of other things with Scikit Learn.
Verified User in Computer Software
GC
Verified User in Computer Software
06/30/2019
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The API with everything machine learning

|scikit-learn
I love the fact that almost every machine learning algorithm are made easy in the framework it's very easy to use. It has so many functionalities

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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.

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Year Founded
2018