scikit-learn Reviews & Product Details

The documentation is the best part about this module. The ease of use, the varied functionalities and ease of incorporating several parameters at the same time makes me use sci-kit learn again and again. Review collected by and hosted on G2.com.

There is literally no downside about this module. I would say having an active community about it would be more helpful. Review collected by and hosted on G2.com.

Scikit-learn is the most wanted library for python for any machine learning engineer for machine learning project.If you are experienced in ML and have little less knowledge about its implementation then you can use this because here you can create any classifier or regression model just by calling its object.This object can be trained by your training set and this ready trained model can be used to predict the furthur results.The other benefit of it is that if you want to change the parameters of the particular algorithm than also it can be changed by calling the object and passing the necessary values.It also has very clean documentation which is very easy to understand. Review collected by and hosted on G2.com.

I have nothing much to dislike about scikit-learn. Review collected by and hosted on G2.com.

It is a api or a library for python for implementing machine learning algorithms by directly declaring the classifiers and training the data on them.By doing so you can generate a model and then just use that model to predict the values.Scikit learn is opensource library and is contributed by many developers and because of which it has best algorithms which are implemented.Almost all the algorithms can be easily used by single line of code and also the parameters can be modified according to your requirement so it is the best library. Review collected by and hosted on G2.com.

I have nothing to dislike about this amazing scikit-learn library. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

It is the Classic ML library for python and it has nothing to dislike about it. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

Nothing to dislike about the extraordinary Machine learning library. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

It is best ML library available for python so no problems about scikit learn. Review collected by and hosted on G2.com.

Does offer a wide variety of traditional Machine Learning Algorithms. Review collected by and hosted on G2.com.

Not quite comfortable to use while working on Deep Neural Network. Review collected by and hosted on G2.com.

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 . Review collected by and hosted on G2.com.

scikit-learn is a very nice ML library there is nothing to dislike about it . Review collected by and hosted on G2.com.

Scikit learn is a great library which all the required modules required for machine learning .It also helps the developer for creating machine on AI and also helps us to train the software. Scikit learn is most advanced library for machine learning used in python because of its vast applications and great user interface and inclusion of different fnctions. And also it can be deployed on different repository platforms like Github. Review collected by and hosted on G2.com.

The only thing i dislike about scikit learn is that it demands high computation power due to which it can be used on machines with small number of cores. Review collected by and hosted on G2.com.

The best thing I would say is, it is open source. Also the documentation is too good, any newbie can easily learn using scikit-learn with this documentation. Along with the documentation the algorithms they provide are too efficient and fast. Almost all Machine Learning algorithms are provided, so it becomes single and also the best place for a ML enthusiast. Review collected by and hosted on G2.com.

Using scikit-learn from all of my Machine Learning tasks, so i would say, 'no dislikes'. Review collected by and hosted on G2.com.