Add sklearn-java to Machine Learning

* Add sklearn-java to Machine Learning section

* Fix sklearn-java entry

---------

Co-authored-by: kundanjan <kundanjangale@kundanjangale>
Co-authored-by: Andreas Kull <akullpp@gmail.com>

Author: 3 people

README.md

@@ -748,6 +748,7 @@ _Tools that provide specific statistical algorithms for learning from data._
 - [oj! Algorithms](https://www.ojalgo.org/) - High-performance mathematics, linear algebra and optimisation needed for data science, machine learning and scientific computing.
 - [Oryx 2](https://github.com/OryxProject/oryx) - Framework for building real-time, large-scale machine learning applications. Includes end-to-end applications for collaborative filtering, classification, regression, and clustering.
 - [Siddhi](https://github.com/siddhi-io/siddhi) - Cloud native streaming and complex event processing engine.
+- [sklearn-java](https://github.com/kVeyra/sklearn-java) - Implements scikit-learn-style machine learning algorithms in pure Java.
 - [Smile](https://github.com/haifengl/smile) - Statistical Machine Intelligence and Learning Engine provides a set of machine learning algorithms and a visualization library.
 - [Tribuo](https://tribuo.org/) - Provides tools for classification, regression, clustering, model development and interfaces with other libraries such as scikit-learn, pytorch and TensorFlow.
 - [Weka](https://www.cs.waikato.ac.nz/ml/weka/) - Collection of algorithms for data mining tasks ranging from pre-processing to visualization. (GPL-3.0-only)