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This book is intended for those who plan to become data scientists as well as anyone who needs to perform data cleaning tasks using Pandas and NumPy. It contains a variety of code samples and features of NumPy and Pandas, and how to write regular expressions. Chapter 3 includes fundamental statistical concepts and Chapter 7 covers data visualization with Matplotlib and Seaborn. Companion files with code are available for downloading from the publisher. FEATURES:Provides the reader with numerous code samples for Pandas and NumPy programming concepts, and an introduction to statistical concepts and data visualizationIncludes an introductory chapter on PythonCompanion files with code

Computer Science. --- Data Science. --- Developers. --- Matplotlib. --- NumPy. --- Programming. --- Python. --- Seaborn. --- data mining.

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This book contains a fast-paced introduction to data-related tasks in preparation for training models ondatasets. It presents a step-by-step, Python-based code sample that uses the kNN algorithm to manage a model on a dataset.Chapter One begins with an introduction to datasets and issues that can arise, followed by Chapter Two on outliers and anomaly detection. The next chapter explores ways for handling missing data and invalid data, and Chapter Four demonstrates how to train models with classification algorithms. Chapter 5 introduces visualization toolkits, such as Sweetviz, Skimpy, Matplotlib, and Seaborn, along with some simple Python-based code samples that render charts and graphs. An appendix includes some basics on using awk. Companion files with code, datasets, and figures are available for downloading.FEATURES:Covers extensive topics related to cleaning datasets and working with modelsIncludes Python-based code samples and a separate chapter on Matplotlib and SeabornFeatures companion files with source code, datasets, and figures from the book

Data Mining --- Computers --- Python (Computer program language). --- Python (Computer program language) --- Matplotlib. --- Python-based code. --- Seaborn. --- Skimpy. --- Sweetviz. --- anomaly detection. --- data analysis. --- dataset. --- kNN algorithm. --- model. --- visualization.

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Annexation (Municipal government) --- State governments. --- Boundaries, State. --- Claims. --- Indians of North America --- Federal government. --- Governmental investigations. --- History. --- Indian agents. --- Pillage. --- Indians of North America --- Indian Removal, 1813-1903. --- Indian Removal, 1813-1903, in art. --- Indians --- Resolutions, Legislative. --- States' rights (American politics) --- Surveying. --- Witnesses. --- Government relations. --- Land tenure. --- Andrews, T. P. --- Campbell, Duncan G. --- Crowell, John, --- Gaines, Edmund Pendleton. --- Jones, Seaborn, --- Jourdan, Warren. --- McGillivray, Alexander. --- McIntosh, William. --- Meriwether, James, --- Torrance, William H. --- Troup, George Michael, --- Williamson, William W. --- Cherokee Indians. --- Creek Indians.