scikit-learn Reviews & Product Details

Scikit-learn is a software machine learning library for the Python programming language that has a various classification, regression and clustering algorithms including support vector machines, random forests, gradient boosting, k-means and DBSCAN, and is designed to interoperate with the Python numerical and scientific libraries NumPy and SciPy.

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scikit-learn

Overview by

JORDAN JUSTIN

Discussions

scikit-learn Community

Value at a Glance

Averages based on real user reviews.

Time to Implement

2 months

Return on Investment

4 months

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scikit-learn Reviews (60)

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Verified User in Research

Small-Business (50 or fewer emp.)

11/1/2019

"scikit-learn review"

5/5

What do you like best about scikit-learn?

The best part about scikit-learn is that it has the variety of regression, classification and clustering algorithms. The page of scikit-learn allows to see which hyper parameters are to be used for my data and what values should I give. Review collected by and hosted on G2.com.

What do you dislike about scikit-learn?

Nothing as of now, but I guess it could be faster for big datasets. Review collected by and hosted on G2.com.

Verified User in Computer Software

Enterprise (> 1000 emp.)

12/10/2019

"User of Python/sklearn"

5/5

What do you like best about scikit-learn?

The sklearn documentation is extremely good, and a large number of machine learning analyses can be done using this library. Review collected by and hosted on G2.com.

What do you dislike about scikit-learn?

The number of different hyperparameters to set is huge. Review collected by and hosted on G2.com.

Jezz B.

Machine Learning Engineer

Internet

Enterprise (> 1000 emp.)

11/6/2018

"Scikit-Learn A mandatory Library for Machine Learning"

5/5

What do you like best about scikit-learn?

The best thing about scikit learn is that it makes implementing and using machine learning algorithms a much easy play.I have been using scikit learn since the start of my career and even during my graduate days I used scikit learn.It has been improving since then and also updating the algorithms.Using scikit learn will really pace up your tasks of implementing ML tasks for your service. Review collected by and hosted on G2.com.

What do you dislike about scikit-learn?

Nothing to dislike about scikit learn.I would say it is really a good library. Review collected by and hosted on G2.com.

Recommendations to others considering scikit-learn:

I would say that scikit learn is really worth using and I would suggest and recommend you to try it once and use scikit learn to implement and use machine learning algorithms.Using scikit learn is very easy and even a new user would easily adapt to it.These functionalities are hard to get any where and that also in open source.So I would recommend using scikit-learn. Review collected by and hosted on G2.com.

What problems is scikit-learn solving and how is that benefiting you?

I am using scikit learn since last 5 years and have used it to a greater extent that sometimes I also provide git push updates to the library when I feel so.I have been using it to implement all the machine learning related task like training the algorithm,developing the algorithm as well as preprocessing and calculating accuracies and plotting them.It is a really demanding library which you can use for your convenience. Review collected by and hosted on G2.com.

Verified User in Information Technology and Services

Enterprise (> 1000 emp.)

10/2/2019

"Good Experience"

5/5

What do you like best about scikit-learn?

It is a solution for Machine Learning tasks. You have optimisation techniques also(use gridsearchcv or randomsearchcv). It also has a cheatsheet or path to describe which algorithm a user should use. Review collected by and hosted on G2.com.

What do you dislike about scikit-learn?

There is no implementation of Catbooster classifier, lightGBM classifier and many more. Review collected by and hosted on G2.com.

Julia P.

Machine Learning Engineer

Information Technology and Services

Enterprise (> 1000 emp.)

10/19/2018

"Machine learning and deep learning api for python"

5/5

What do you like best about scikit-learn?

The best thing that I started liking about scikit learn is the ease of creating and running a machine learning algorithm for any model.If you need a KNN for your face recognition just call the Knn classifier with the proper hyper parameters and use it in your face recognition model with very less lines of code and much simplicity.If you need to use a linear regression model then just call its object,have your own data trained on it and predict when required.Its very simple to use this and that's what makes it most interesting.Apart from this it comes with many custom datasets which can be directly imported and used. Review collected by and hosted on G2.com.

What do you dislike about scikit-learn?

Nah,nothing found yet to dislike about this awesome library. Review collected by and hosted on G2.com.

Recommendations to others considering scikit-learn:

Yeah it has multiple reasons to consider recommending scikit learn for any machine learning project or product.Whenever you working on one such project building everything from scratch is a really mess instead why not build the project according to your requirement by using simple lego pieces like functions and integrate all of them to gather and use it in your application.So its worth recommending scikit learn to every machine learning engineers. Review collected by and hosted on G2.com.

What problems is scikit-learn solving and how is that benefiting you?

I am using scikit learn for developing machine learning models and using them to work in live application.Most recently I used it to create a face recognition classifier which classified the faces in realtime.I used the KNN classifier for the same and got good results by tuning the hyper parameters.It seriously saved me a lot of time of implementing it from scratch. Review collected by and hosted on G2.com.

Verified User in Computer Software

Small-Business (50 or fewer emp.)

7/17/2019

"Incredibly simple, fast, and powerful"

4/5

What do you like best about scikit-learn?

Scikit-learn is extremely scalable and great for beginners especially. My main experience has been using their support vector classifier, which is ideal for our project in mapping ultrasound imagery to movements of the hand. Review collected by and hosted on G2.com.

What do you dislike about scikit-learn?

Documentation could be a bit better, but other than that it's incredibly reliable and consistent. Review collected by and hosted on G2.com.

Verified User in Education Management

Mid-Market (51-1000 emp.)

4/30/2019

"Scikit-learn review"

5/5

What do you like best about scikit-learn?

Scikit-learn can be used for almost all the machine learning tasks as it consists of tools for most of the standard machine learning tasks like classification, clustering, regression and dimensionality reduction. Review collected by and hosted on G2.com.

What do you dislike about scikit-learn?

R is more focused on statistics than scikit-learn. For example R provides more details regarding regression than scikit-learn Review collected by and hosted on G2.com.

Recommendations to others considering scikit-learn:

Scikit-learn is great for beginners and also can be used for academic projects as well. The model is easy to use and allows to perform multiple processes for complex problems. Review collected by and hosted on G2.com.

What problems is scikit-learn solving and how is that benefiting you?

Scikit-learn is being used to predict consumer behavior for an application that suggests products to the users. It is efficient and accurate than other alternatives. Review collected by and hosted on G2.com.

Verified User in Computer Software

Small-Business (50 or fewer emp.)

6/30/2019

"The API with everything machine learning"

4.5/5

What do you like best about 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 Review collected by and hosted on G2.com.

What do you dislike about scikit-learn?

It doesn't have any deep learning version it's mainly for machine learning I e it's not robust Review collected by and hosted on G2.com.

Christian M. N.

Software Developer

Small-Business (50 or fewer emp.)

5/12/2019

"Great Machine Learning tool"

4.5/5

What do you like best about scikit-learn?

scikit-learn provides a clean and consistent interface to tons of different models Review collected by and hosted on G2.com.

What do you dislike about scikit-learn?

Scikit learn can be hard to learn if you don't have previous experience with python Review collected by and hosted on G2.com.

Verified User in Retail

Enterprise (> 1000 emp.)

4/30/2019

"Scikit learning - what a beauty!"

5/5

What do you like best about scikit-learn?

What not to like, gives you the power to train machine learning models abstracting out how it is working underneath. It can be scary sometimes to know how ML algorithms work in theory and it gets scarier when you got to put into functioning code but with scikit learning you dont have to worry about the underlying implementation and just get started with Machine Learning Review collected by and hosted on G2.com.

What do you dislike about scikit-learn?

Could not find anything to dislike till now 😊 Review collected by and hosted on G2.com.