scikit-learn

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4.8 out of 5 stars

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 review by <span>Yash R.</span>
Yash R.
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Classic ML library

What do you like best?

scikit learn is the machine learning library implemented in python.It consists of all the machine learning algorithms like linear regression,logistic regression and many more clustering algorithms preimplemented.You can use such algorithms on your data set by just a single line of code.You can train the model on your data set and use that model to predict furthur values.You can also save your trained model and also change the parameters of the alogrithm to tune the algorithm according to your usage.

What do you dislike?

It is the Classic ML library for python and it has nothing to dislike about it.

Recommendations to others considering the product

I recommend using scikit learn to implement ML algorithms in your software using python because it has range of algorithms implemented in it and you can also tune the parameters of their algorithms according to your requirement.It is far more the best ML library for python and so it is the most recommended library for implementing ML algorithms.

What business problems are you solving with the product? What benefits have you realized?

I use sci-kit learn library to implement various classification and regression algorithms of machine learning in python to furthur integrate those trained models into the software required by the client.It is so simple to use that even a person with beginner knowledge of ML can implement the algorithms with ease.

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scikit-learn review by <span>Rahul C.</span>
Rahul C.
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Machine learning Implementation Python Library

What do you like best?

It is the python library for implementing machine learning algorithms.It has various algorithms of machine learning preimplemented which you can use just by using single line of code.All the machine learning classifiers are modifyable according to you requirement.You can train your model and save it for your futhur usage and predict results with much ease.It is the best ML library for python you can ever have.

What do you dislike?

Nothing to dislike about the extraordinary Machine learning library.

Recommendations to others considering the product

IT is the best recommended Machine learning library for python.It is very easy to implement ML classifiers on any size of data.Also you can scale the data using scikit learn so it is best ML library for python.If you want to implement ML models to your data with ease,you should use scikit learn.So it is definetly the best library for ML.

What business problems are you solving with the product? What benefits have you realized?

I use Scikit learn for implementing Machine learning in our softwares according to the requirement and data of our clients.It is very useful in the field of data science for implementing various ML classifiers to our data and use it according to our usage.It has made the work of implementing the ML algorithms very easy.

What Machine Learning solution do you use?

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scikit-learn review by <span>Narendra N.</span>
Narendra N.
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Machine Learning Library For Nascent Developers

What do you like best?

Scikit learn is a machine learning library for python.You can easily develop and generate Machine Learning models so much easily and also can train the model with just single line of code.It is so easy to implement machine learning algorithm that even nascent developers can easily implement various machine learning model.It can also be used to modify the models variables and build a model according to your usage.

What do you dislike?

It is best ML library available for python so no problems about scikit learn.

Recommendations to others considering the product

I recommend using scikit learn for implementing the ML models easily and without more effort and you can also tune the model according to your requirement and also save the trained model.You will not get anything like this in any other library.If you use python for ML implementation scikit learn is the best framework you can have.

What business problems are you solving with the product? What benefits have you realized?

I use scikit learn to implement and train machine learning models for my websites and also for the softwares that my company develops.I use scikit learn and tune the model of ML according to the project specification and than develop a perfectly trained and tuned model for the software.

scikit-learn review by <span>Jash S.</span>
Jash S.
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Best Documented ML(Machine Learning) library

What do you like best?

Scikit learn is the library for machine learning which is well documented that a naive machine learning developer can also use it.The algorithms that are implemented in the library are the common machine learning algorithms and they can scale for almost every size of data.You can easily use the machine learning algorithms in a normal python program and take the advantage of the data analytics through ML using scikit learn.

What do you dislike?

Scikit learn has not left any false clue besides it that is you cannot even find a single evidence for not liking it.

Recommendations to others considering the product

I recommend scikit learn as the best machine learning library for any set of data for implementing various machine learning algorithms.And it is opensource and improvising day by day.

What business problems are you solving with the product? What benefits have you realized?

We use scikit learn for implementing various ML algorithms through python.Using those algorithms we get our data analytics and predictions of stock market.We also provide various solutions through ML algorithms to our clients according to our usage.Recently we built a model for a company for share price prediction for certain of its depending companies.

scikit-learn review by <span>Kartik B.</span>
Kartik B.
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Best MachineLearning Library

What do you like best?

The best machine learning library that I have found on the web. It is the library which is used by the experts for machine learning exercises. Using scikit-learn you can easily get your classifier or else regression model developed in a single line and then just train your data through that classifier by passing training data to it and also you can save the trained model and use it in future.You can also customize the famous ML algorithms and tune them according to your usage.

What do you dislike?

Nothing to dislike about the best Machine Learning Library.

Recommendations to others considering the product

Scikit-Learn is the best and guranteed recommended machine learning library for all the machine learning developers over there in the society because you will not find any other library that gives you pre implemented algorithms which you can use by just writing a single line and tuning the algorithm parameters according to your usage

What business problems are you solving with the product? What benefits have you realized?

We use scikit-learn to develop the training model for our as well as other company's usage that require predictive models for their daily usage.We also develop predictive models for our clients as well and give them a working application that is tuned and works according to their requirement so scikit learn is best for us.

scikit-learn review by <span>vivek s.</span>
vivek s.
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best available machine learning library .

What do you like best?

Training your data with scikit-learn is very easy . using scikit-learn you can rapidly develop classifier and get your regression models prepared in very less time . the BEST thing about scikit-learn is that you can save your model and your trained data for further use .

What do you dislike?

scikit-learn is a very nice ML library there is nothing to dislike about it .

Recommendations to others considering the product

scikit-learn is a exceptionally robust and versatile Machine Learning library till date . you will not find any replacement for this library .scikit-learn contains all pre-implemented ML algorithms which helps a lot .

What business problems are you solving with the product? What benefits have you realized?

we are developing software based on sentiment analysis and recommender system with the help of scikit-learn . it provides us the in-buit functions and helps us develop the software for the customers rapidly .

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Kate from G2 Crowd

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