Preliminary preparation of data in Python. Volume 1. Tools and validation. Gruzdev A.V.

The two -volume presents materials on the use of classical methods of machine learning in various industrial tasks. The first volume is devoted to Python tools - the main libraries, classes and functions necessary for preliminary preparation of data, building machine training models, and performing various validation strategies. At the end of the first volume, the tasks of interviews on SQL, Python, mathematical statistics and probabilities theory.

The publication is designed for data analysis specialists, and can also be useful to a wide range of specialists interested in machine learning.