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(Vocal Score). English Only. Edited by Broughton.
Data is everywhere and it’s growing at an unprecedented rate. But making sense of all that data is a challenge. Data Mining is the process of discovering patterns and knowledge from large data sets, and Data Mining with Python focuses on the hands-on approach to learning Data Mining. It showcases how to use Python Packages to fulfill the Data Mining pipeline, which is to collect, integrate, manipulate, clean, process, organize, and analyze data for knowledge. The contents are organized based on the Data Mining pipeline, so readers can naturally progress step by step through the process. Topics, methods, and tools are explained in three aspects: “What it is” as a theoretical background, “why we need it” as an application orientation, and “how we do it” as a case study. This book is designed to give students, data scientists, and business analysts an understanding of Data Mining concepts in an applicable way. Through interactive tutorials that can be run, modified, and used for a more comprehensive learning experience, this book will help its readers to gain practical skills to implement Data Mining techniques in their work.
An essential reference to herbal remedies for the most common ailments. Sharing twenty-five years of clinical expertise, Dr. Asa Hershoff has written a highly accessible and useful guide to hundreds of herbs and their uses for specific conditions. The book's unique format helps readers quickly assess health conditions. Margins on each page depict icons of body parts for very easy reference. An alphabetical listing of ailments provides information on each herb's source, dosage, and possible contraindications. Integrating the best of herbal tradition and science, this authoritative book is an essential guide for tapping the healing power of herbs.