Data analytics for finance using python (Record no. 9934)

MARC details
000 -LEADER
fixed length control field 03016nam a22002177a 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250616165558.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 250616b |||||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781032618234
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 332.0285
Item number UNT
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Untwal, Nitin Jaglal
245 ## - TITLE STATEMENT
Title Data analytics for finance using python
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher, distributor, etc. CRC Press
Place of publication, distribution, etc. Boca Raton
Date of publication, distribution, etc. 2025
300 ## - PHYSICAL DESCRIPTION
Extent xv, 121 p.
365 ## - TRADE PRICE
Price type code GBP
Price amount 44.99
490 ## - SERIES STATEMENT
Series statement Advances in Digital Technologies for Smart Applications
500 ## - GENERAL NOTE
General note Table of Contents:<br/><br/>1. Stock Investments Portfolio Management by Applying K-Means Clustering<br/><br/>2. Predicting Stock Price Using the ARIMA Model<br/><br/>3. Stock Investment Strategy Using a Logistic Regression Model<br/><br/>4. Predicting Stock Buying and Selling Decisions by Applying the Gaussian Naïve Bayes Model Using Python Programming<br/><br/>5. The Random Forest Technique Is a Tool for Stock Trading Decisions<br/><br/>6. Applying Decision Tree Classifier for Buying and Selling Strategy with Special Reference to MRF Stock<br/><br/>7. Descriptive Statistics for Stock Risk Assessment<br/><br/>8. Stock Investment Strategy Using a Regression Model<br/><br/>9. Comparing Stock Risk Using F-Test<br/><br/>10. Stock Risk Analysis Using t-Test<br/><br/>11. Stock Investment Strategy Using a Z-Score<br/><br/>12. Applying a Support Vector Machine Model Using Python Programming<br/><br/>13. Data Visualization for Stock Risk Comparison and Analysis<br/><br/>14. Applying Natural Language Processing for Stock Investors Sentiment Analysis<br/><br/>15. Stock Prediction Applying LSTM
520 ## - SUMMARY, ETC.
Summary, etc. Unlock the power of data analytics in finance with this comprehensive guide. Data Analytics for Finance Using Python is your key to unlocking the secrets of the financial markets.<br/><br/>In this book, you’ll discover how to harness the latest data analytics techniques, including machine learning and inferential statistics, to make informed investment decisions and drive business success. With a focus on practical application, this book takes you on a journey from the basics of data preprocessing and visualization to advanced modeling techniques for stock price prediction.<br/><br/>Through real-world case studies and examples, you’ll learn how to:<br/><br/>Uncover hidden patterns and trends in financial data<br/>Build predictive models that drive investment decisions<br/>Optimize portfolio performance using data-driven insights<br/>Stay ahead of the competition with cutting-edge data analytics techniques<br/>Whether you’re a finance professional seeking to enhance your data analytics skills or a researcher looking to advance the field of finance through data-driven insights, this book is an essential resource. Dive into the world of data analytics in finance and discover the power to make informed decisions, drive business success, and stay ahead of the curve.<br/><br/>(https://www.routledge.com/Data-Analytics-for-Finance-Using-Python/Untwal-Kose/p/book/9781032618234)
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Finance--Data analytics--Python(Computer programming language)
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Kose, Utku
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Book
Source of classification or shelving scheme Dewey Decimal Classification
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Bill No Bill Date Home library Current library Shelving location Date acquired Source of acquisition Cost, normal purchase price Total Checkouts Full call number Accession Number Date last seen Copy number Cost, replacement price Price effective from Koha item type
    Dewey Decimal Classification     Finance & Accounting SBHPL/INV/97/2025-2026 23-05-2025 Indian Institute of Management LRC Indian Institute of Management LRC General Stacks 06/09/2025 Sarat Book House Pvt. Ltd. 3412.71   332.0285 UNT 008817 06/09/2025 1 5250.33 06/09/2025 Book

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