Hands-On Data Analysis with Pandas, 2nd Edition by Stefanie Molin
Requirements: .ePUB, .PDF, .MOBI/.AZW reader, 202 mb
Overview: pandas is a powerful and popular library synonymous with Python data science that makes data wrangling and visualization easy by enabling you to work efficiently with tabular data. This second edition will help you get well-versed with the new features in pandas 1.x and enhance your data analysis skills for extracting significant insights and value from data.
Hands-On Data Analysis with Pandas will show you how to analyze your data, get started with machine learning, and work effectively with the Python libraries often used for data science, such as pandas, NumPy, matplotlib, seaborn, and scikit-learn. Using real-world datasets, the book shows you how to use the powerful pandas library to perform data wrangling to reshape, clean, and aggregate your data. As you advance, you’ll learn how to conduct exploratory data analysis by calculating summary statistics and visualizing the data to find patterns. You’ll also explore some applications of anomaly detection, regression, clustering, and classification using scikit-learn to make predictions based on past data.
By the end of this data analysis book, you’ll be equipped with the skills you need to use pandas to ensure the veracity of your data, visualize it for effective decision-making, and reliably reproduce analyses across multiple domains.
Genre: Non-Fiction > Tech & Devices
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