Comparison of top data science libraries for Python, R and Scala [Infographic]

Machine learning packages take care of the building and implementing the top machine learning algorithms, creating workflows, and in general helping to solve machine learning problems. They provide the primary toolkit for different classification, regression, and other problems. As an integral part of data science, data manipulation and analysis field represent libraries that carry out data scraping, ingestion, cleaning, pre-processing and other operations that allow you to "play with the data" and as a result to perform the analysis itself. With the help of visualization packages, you can display the data visually which is necessary for better understanding and interpreting the data. These packages contain numerous visualization charts as well as different options for representation.