MARC details
| 000 -LEADER |
|---|
| fixed length control field |
04046aam a22003971i 4500 |
| 001 - CONTROL NUMBER |
|---|
| control field |
0000372101 |
| 003 - CONTROL NUMBER IDENTIFIER |
|---|
| control field |
0001 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
221209s2018 enka ob 000 0 eng d |
| 015 ## - NATIONAL BIBLIOGRAPHY NUMBER |
|---|
| National bibliography number |
GBB999792 |
| Source |
bnb |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9781789138719 (paperback) |
|
|---|
| International Standard Book Number |
9781789134544 |
| Qualifying information |
(electronic bk.) |
|
|---|
| Canceled/invalid ISBN |
9781789138719 |
| 040 ## - CATALOGING SOURCE |
|---|
| Original cataloging agency |
UMI |
| Language of cataloging |
eng |
| Transcribing agency |
UMI |
| Modifying agency |
N$T |
| -- |
OCLCF |
| -- |
Uk |
| Description conventions |
rda |
| -- |
pn |
| 042 ## - AUTHENTICATION CODE |
|---|
| Authentication code |
ukblsr |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
005.133 |
| Edition number |
23 |
| 084 ## - OTHER CLASSIFICATION NUMBER |
|---|
| Classification number |
005.133 |
| Item number |
FUE-H |
| Number source |
23 |
| 100 10 - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Fuentes, Alvaro, |
| Relator term |
author. |
| 245 10 - TITLE STATEMENT |
|---|
| Title |
Hands-on predictive analytics with Python |
| Medium |
Book : |
| Remainder of title |
master the complete predictive analytics process, from problem definition to model deployment / |
| Statement of responsibility, etc. |
Alvaro Fuentes. |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
v, 317 pages : |
| Other physical details |
illustrations ; |
| Dimensions |
24 cm. |
| 365 ## - TRADE PRICE |
|---|
| Price type code |
01 |
| Price amount |
0.00 |
| 500 ## - GENERAL NOTE |
|---|
| General note |
Includes index |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc. |
Key Features Use the Python data analytics ecosystem to implement end-to-end predictive analytics projects Get up to speed with advanced predictive modeling algorithms with the help of detailed explanations Learn to present a predictive model's results as an interactive application Book Description Predictive analytics is a field of applied analytics that employs a variety of quantitative methods to analyze your data and make predictions. This book guides you through the most important concepts related to predictive analytics. With the help of practical, step-by-step examples, you'll be able to build predictive analytics solutions while using cutting-edge Python tools and packages. You'll learn effectively by defining the problem and then moving on to identifying relevant data. As you advance, you'll get to grips with tasks such as data preparation, exploring and visualizing relationships, building models, and more. You will also work with models such as K-Nearest Neighbors (KNN), random forests, and neural networks using key libraries in Python's data science stack including NumPy, pandas, Matplotlib, and Seaborn. All along, you'll explore useful examples and Python code that will help you grasp the concepts and techniques effectively. In addition to this, you'll gain detailed insights into the core techniques and algorithms used in predictive analytics. By the end of this book, you will be equipped with the skills you need to build high-performance predictive analytics solutions using Python programming. What you will learn Get to grips with the core concepts and principles of predictive analytics Explore the stages involved in producing complete predictive analytics solutions Understand how to define a problem, propose a solution, and prepare a dataset Use visualizations to explore relationships and gain insights into a dataset Use Keras to build powerful neural network models that produce accurate predictions Build regression and classification models using scikit-learn Who this book is for This book is for data analysts, data scientists, data engineers, and Python developers who want to learn about predictive modeling and are interested in implementing predictive analytics solutions using Python's data stack. Anyone looking to get started in this exciting field will also find this book useful. Proficiency in Python programming and a basic understanding of statistics and college-level algebra are required. |
| 521 ## - TARGET AUDIENCE NOTE |
|---|
| Target audience note |
All. |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
COMPUTERS / Programming Languages / General. |
| Source of heading or term |
bisacsh |
|
|---|
| Topical term or geographic name entry element |
Python (Computer program language) |
|
|---|
| Topical term or geographic name entry element |
Application software |
| General subdivision |
Development. |
|
|---|
| Topical term or geographic name entry element |
Decision making |
| General subdivision |
Data processing. |
|
|---|
| Topical term or geographic name entry element |
Data mining. |
|
|---|
| Topical term or geographic name entry element |
Big data. |
|
|---|
| Topical term or geographic name entry element |
Application software |
| General subdivision |
Development. |
| Source of heading or term |
fast |
| Authority record control number or standard number |
(OCoLC)fst00811707 |
|
|---|
| Topical term or geographic name entry element |
Big data. |
| Source of heading or term |
fast |
| Authority record control number or standard number |
(OCoLC)fst01892965 |
|
|---|
| Topical term or geographic name entry element |
Data mining. |
| Source of heading or term |
fast |
| Authority record control number or standard number |
(OCoLC)fst00887946 |
|
|---|
| Topical term or geographic name entry element |
Decision making |
| General subdivision |
Data processing. |
| Source of heading or term |
fast |
| Authority record control number or standard number |
(OCoLC)fst00889041 |
|
|---|
| Topical term or geographic name entry element |
Python (Computer program language) |
| Source of heading or term |
fast |
| Authority record control number or standard number |
(OCoLC)fst01084736 |
| 852 ## - LOCATION |
|---|
| Piece designation |
10001000062569 |
| -- |
10195.00 |
| Classification part |
005.133 FUE-H 62569 |
| -- |
Allied Book Company |
| Sublocation or collection |
Ground Floor |
| Former shelving location |
Books |
| Copy number |
1 |
| Piece physical condition |
1-New |
| Location |
JZL-CUI |
