000			03016nam a22002177a 4500
005			20250616165558.0
008			250616b |||||||| |||| 00| 0 eng d
020			_a9781032618234
082			_a332.0285 _bUNT
100			_aUntwal, Nitin Jaglal _923514
245			_aData analytics for finance using python
260			_bCRC Press _aBoca Raton _c2025
300			_axv, 121 p.
365			_aGBP _b44.99
490			_aAdvances in Digital Technologies for Smart Applications
500			_aTable of Contents: 1. Stock Investments Portfolio Management by Applying K-Means Clustering 2. Predicting Stock Price Using the ARIMA Model 3. Stock Investment Strategy Using a Logistic Regression Model 4. Predicting Stock Buying and Selling Decisions by Applying the Gaussian Naïve Bayes Model Using Python Programming 5. The Random Forest Technique Is a Tool for Stock Trading Decisions 6. Applying Decision Tree Classifier for Buying and Selling Strategy with Special Reference to MRF Stock 7. Descriptive Statistics for Stock Risk Assessment 8. Stock Investment Strategy Using a Regression Model 9. Comparing Stock Risk Using F-Test 10. Stock Risk Analysis Using t-Test 11. Stock Investment Strategy Using a Z-Score 12. Applying a Support Vector Machine Model Using Python Programming 13. Data Visualization for Stock Risk Comparison and Analysis 14. Applying Natural Language Processing for Stock Investors Sentiment Analysis 15. Stock Prediction Applying LSTM
520			_aUnlock 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. 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. Through real-world case studies and examples, you’ll learn how to: Uncover hidden patterns and trends in financial data Build predictive models that drive investment decisions Optimize portfolio performance using data-driven insights Stay ahead of the competition with cutting-edge data analytics techniques 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. (https://www.routledge.com/Data-Analytics-for-Finance-Using-Python/Untwal-Kose/p/book/9781032618234)
650			_aFinance--Data analytics--Python(Computer programming language) _924559
700			_aKose, Utku _924560
942			_cBK _2ddc
999			_c9934 _d9934