Machine Learning with Python

Nilesh Sable

ISBN 10: 6202924039 / ISBN 13: 9786202924030

Published by LAP LAMBERT Academic Publishing Okt 2020, 2020

About this Item

This item is printed on demand - it takes 3-4 days longer - Neuware -With the help of many members of the community, I have written this book for beginners, entrepreneurs and risk-takers who having heard of a Machine learning Algorithm but knowing little about it want to understand how Machine Learning algorithms can work in Real life Scenario an Since the book we biased world in the interest of the inventors of these concepts, it greatly simplifies access.I am extremely happy to come out with this book on 'Machine Learning Algorithm with Python' for the students. This book is intended for use in student, job seekers. It can equally be used for self-study. We aim to make the area accessible to students, risk takers who have a basic knowledge of Machine learning. The book includes coverage of those aspects of Machine Learning Algorithm. 128 pp. Englisch.

Seller Inventory # 9786202924030

Bibliographic Details

• Title: Machine Learning with Python
• Publisher: LAP LAMBERT Academic Publishing Okt 2020
• Publication Date: 2020
• Language: English
• ISBN 10: 6202924039
• ISBN 13: 9786202924030
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 8D millimeters 220 millimeters width by 150 millimeters height by 8 millimeters depth
• Weight: 209 grams

About this title

Synopsis

With the help of many members of the community, I have written this book for beginners, entrepreneurs and risk-takers who having heard of a Machine learning Algorithm but knowing little about it want to understand how Machine Learning algorithms can work in Real life Scenario an Since the book we biased world in the interest of the inventors of these concepts, it greatly simplifies access.I am extremely happy to come out with this book on “Machine Learning Algorithm with Python” for the students. This book is intended for use in student, job seekers. It can equally be used for self-study. We aim to make the area accessible to students, risk takers who have a basic knowledge of Machine learning. The book includes coverage of those aspects of Machine Learning Algorithm.