Murach's Python for Data Science (2nd Edition): Training and Reference
McCoy, Scott
Format: Paperback
Publisher: Mike Murach and Associates Inc
ISBN: 9781943873173
This book teaches readers to use Python libraries to collect, clean, prepare, and analyze data, with the aim of turning raw data into insights that support decisions. It introduces Pandas for data analysis and Seaborn for data visualization, then shows how to build regression models with Scikit-learn to make predictions. Four analyses based on real-world data give readers practice with the full workflow, and the book suits anyone who wants to work as a data analyst or build professional data science skills in Python.
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