Python Data Mining Cookbook (Paperback)Mohit Sethi (author)
Paperback 370 Pages / Published: 29/09/2017
- Not available
Over 100 recipes to help you discover patterns in data with Python 3.x About This Book * Rich recipes that make data mining simpler than ever before * Explore powerful libraries in Python for performing efficient data mining * Gain insights from the data with the magic of Artificial intelligence, machine learning, statistics, and more Who This Book Is For This book is for Python programmers looking to analyze large amount of data, yielding to discoveries and intuitions that surprise even experts. It is also, useful to experienced Python programmers who are looking to implement data-mining algorithms techniques. What You Will Learn * Usage of a wide variety of data-mining algorithms to analyze data * Implement algorithms like clustering, classification, regression, K-means, etc. using Python * Managing varied types of data & explore techniques leading to exploration of insights. * Features in-depth information on probabilistic models and deep learning. * Performance improvement techniques, including input pre-processing and combining output from different methods. * Perform Customer profiling, understand what products is preferred by what kind of customers * Understand customer purchasing pattern * Perform Cross market analysis, understand correlation between product sales. * Cluster Loan applicants in order to assess loan risk. * Public clouds like AWS to create your data-mining pipeline. In Detail This cookbook will cover easy-to-follow recipes that will teach you how to mine data using Python's powerful libraries such as Scikit-learn, Pandas, and more. The independent recipes in this book will take you to a journey of data mining concepts. You will learn about classification, prediction, feature extraction, recommendations, and more. This book promises you to come to rescue when you are stuck at work while performing data mining. Covering common and not-so-common recipes, this book will teach you how to deal will image, text, and numerical data; designing and developing data mining apps; and more. By the end of reading this book, you will know everything about data mining and implementing it in real world with Python.
Publisher: Packt Publishing Limited
Number of pages: 370
Dimensions: 235 x 191 mm
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