Test Python Machine Learning

scikit-learn, ML in Python!

Scikit-learn is a free Python library for machine learning. It has been developed by numerous contributors2, particularly in the academic world by French higher education and research institutes such as Inria3.
It offers in its framework many libraries of algorithms to implement, turnkey. These libraries are available to data scientists in particular.
It notably includes functions for estimating random forests, logistic regressions, classification algorithms, and support vector machines. It is designed to harmonize with other free Python libraries, including NumPy and SciPy.

About the quiz Python scikit-learn

This quiz addresses the basic libraries that allow you to practice Data Science with the Python language. In this quiz, there are questions that allow you to challenge yourself on the most basic uses of the Numpy, pandas and Scikit-Learn libraries. Indeed, the mastery of these three libraries makes it possible to develop all types of machine learning algorithms. The topics covered in this test are:
The creation and manipulation of Numpy arrays.
Creating and manipulating Pandas DataFrames.
Data manipulation with advanced functions such as the Apply and Melt functions;
The use of the Scikit-Learn library for the implementation of Machine Learning algorithms such as regression algorithms, SVM algorithms, the KMeans algorithm and neural networks.