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OverviewUnlock the Power of Machine Learning with Python Are you ready to take your data analysis skills to the next level? Look no further than this comprehensive guide to Machine Learning with Python. In this tutorial, you will learn everything you need to know to become an expert in Machine Learning with Python, from the basics of data analysis to advanced techniques like deep learning and neural networks. With step-by-step instructions and real-world examples, this tutorial is perfect for both beginners and experienced programmers alike. Discover how to build and train predictive models, analyze large datasets, and automate complex tasks with ease. With the power of Python at your fingertips, you'll be able to tackle any data challenge and unlock new insights into your business or research. Whether you're looking to break into the field of data science or simply want to enhance your skills, this tutorial has everything you need to succeed. So why wait? Dive into the exciting world of Machine Learning with Python today and unleash your full potential! With this tutorial, you'll gain expertise in the following areas: Deep Learning and Neural Networks Predictive Modeling and Algorithms Big Data and Data Analysis Supervised and Unsupervised Learning Reinforcement Learning and Decision Trees And much more! So why wait? Order your copy of this must-have tutorial today and take the first step towards becoming a data analysis expert! Full Product DetailsAuthor: Bernd KleinPublisher: Alanna Maldonado Imprint: Alanna Maldonado Dimensions: Width: 21.60cm , Height: 2.30cm , Length: 27.90cm Weight: 1.043kg ISBN: 9789732345511ISBN 10: 9732345519 Pages: 454 Publication Date: 22 April 2023 Audience: General/trade , General Format: Paperback Publisher's Status: Active Availability: Available To Order ![]() We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately. Table of ContentsReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |