Advanced interdisciplinary applications of machine learning Python libraries for data science edited by Soly Biju, Ashutosh Mishra, Manoj Kumar

Includes bibliographical references and index.

"This book will help emerging data scientist to gain hands on skills needed through real world data and completely up to date Python code. This book covers all the technical details right from installing the needed software to importing libraries and using latest data sets, deciding on the right model, training and testing, evaluation of the model. It will also cover NumPy, Pandas and matplotlib. It covers various machine learning like Regression, linear and logical Regression, Classification, SVM (support Vector Machine), clustering, KNearest Neighbor, Market basket analysis, Apriori, K Means clustering, Visualization using Seaborne. None of the existing books in the field covers all the essential algorithms with practical implementation and code in Python with all needed libraries and provides links to datasets used"--