Managing Datasets and Models

Name: Managing Datasets and Models
Brand: Mercury Learning and Information
SKU: 9781683929529
Price: 3889.0 INR
Availability: InStock

by Oswald Campesato

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ISBN13: 9781683929529
Binding: Paperback
Subject: N/A
Publisher: Mercury Learning and Information
Publisher Imprint: Mercury Learning and Information
Publication Date: March 15, 2023
Pages: 368
Original Price: USD 54.95
Language: English
Edition: N/A
Item Weight: 676 grams
BISAC Subject(s): Data Science / Data Analytics, Decision-Making & Problem Solving, and Programming / General

About The Book

This book contains a fast-paced introduction to data-related tasks in preparation for training models on datasets. 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 models
Includes Python-based code samples and a separate chapter on Matplotlib and Seaborn
Features companion files with source code, datasets, and figures from the book

About The Author

Campesato Oswald:

Oswald Campesato (San Francisco, CA) is an adjunct instructor at UC-Santa Cruz and specializes in Deep Learning, NLP, Android, and Python. He is the author/co-author of over forty-five books including Data Science Fundamentals Pocket Primer, Python 3 for Machine Learning, and the Python Pocket Primer (Mercury Learning and Information).

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