Data Science and Analytics with Python.
Picture Of The Book:
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| Data Science and Analytics with Python. |
About The Book:
The book is organized in such a way that individual chapters are sufficiently independent of each other so that the reader is comfortable using the contents for reference. The book discusses the science of data analysis, from the perspective of the process and the results obtained. Important features of Python are also covered, including the Python primer. The basic elements of machine learning, pattern recognition, and artificial intelligence that support the algorithms and applications used in the rest of the book also appear in the first part of the book.
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.
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.
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