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Data Science and Analytics with Python Download pdf

Download Data Science and Analytics with Python pdf
Data Science and Analytics with Python
Picture Of The Book:
Data Science and Analytics with Python
Data Science and Analytics with Python
About The Book:

The book is sorted out so that singular sections are adequately free of one another with the goal that the peruser is happy with utilizing the substance for reference. The book talks about the study of information investigation, from the point of view of the procedure and the outcomes got. Significant highlights of Python are likewise secured, including the Python groundwork. The fundamental components of AI, design acknowledgment, and computerized reasoning that help the calculations and applications utilized in the remainder of the book additionally show up in the initial segment of the book.

Contents Of The Book:

Chapter 1: Trials and Tribulations of a Data Scientist.
Chapter 2: Python: For Something Completely Different.
Chapter 3: The Machine that Goes “Ping”: Machine Learning and Pattern Recognition.
Chapter 4: The Relationship Conundrum: Regression.
Chapter 5: Jackalopes and Hares: Clustering.
Chapter 6: Unicorns and Horses: Classification.
Chapter 7: Decisions, Decisions: Hierarchical Clustering, Decision Trees and Ensemble Techniques.
Chapter 8: Less is More: Dimensionality Reduction.
Chapter 9: Kernel Tricks up the Sleeve: Support Vector Machines.

Information About The Book:

Title: Data Science and Analytics with Python (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series).
Language: English.
Size: 31.5 Mb.
Pages: 413.
Format: Pdf.
Year: 2018.
Edition: 1.
Author: Jesus Rogel-Salazar.
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