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Python 3 and Feature Engineering

by Oswald Campesato
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Current price ₹4,036.00
Original price ₹5,782.00
Original price ₹5,782.00
Original price ₹5,782.00
(-30%)
₹4,036.00
Current price ₹4,036.00

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Book cover type: Paperback
  • ISBN13: 9781683929499
  • Binding: Paperback
  • Subject: N/A
  • Publisher: Mercury Learning and Information
  • Publisher Imprint: Mercury Learning and Information
  • Publication Date:
  • Pages: 216
  • Original Price: USD 58.99
  • Language: English
  • Edition: N/A
  • Item Weight: 318 grams
  • BISAC Subject(s): Programming / Games, Business & Productivity Software / Spreadsheets, and Security / General

This book is designed for data scientists, machine learning practitioners, and anyone with a foundational understanding of Python 3.x. In the evolving field of data science, the ability to manipulate and understand datasets is crucial. The book offers content for mastering these skills using Python 3. The book provides a fast-paced introduction to a wealth of feature engineering concepts, equipping readers with the knowledge needed to transform raw data into meaningful information. Inside, you'll find a detailed exploration of various types of data, methodologies for outlier detection using Scikit-Learn, strategies for robust data cleaning, and the intricacies of data wrangling. The book further explores feature selection, detailing methods for handling imbalanced datasets, and gives a practical overview of feature engineering, including scaling and extraction techniques necessary for different machine learning algorithms. It concludes with a treatment of dimensionality reduction, where you'll navigate through complex concepts like PCA and various reduction techniques, with an emphasis on the powerful Scikit-Learn framework.

Campesato, Oswald: - Oswald Campesato specializes in Deep Learning, Python, Data Science, and generative AI. He is the author/co-author of over forty-five books including Google Gemini for Python, Large Language Models, and GPT-4 for Developers (all Mercury Learning).

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