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Total Size:
19.7 MB
Info Hash:
37539D5AE018637E1E49BDBC402C46A083E0819C
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Added:
Nov. 1, 2025, 3:33 p.m.
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(Last updated: Nov. 1, 2025, 3:35 p.m.)
| File | Size |
|---|---|
| Lim K. Machine Learning in Business Finance Using Python 2026.pdf | 19.7 MB |
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19.7 MB
[85
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15]
2025-11-01
| Uploaded by andryold1 | Size 19.7 MB | Health [ 85 /15 ] | Added 2025-11-01 |
NOTE
SOURCE: Lim K. Machine Learning in Business Finance Using Python 2026
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COVER
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MEDIAINFO
Textbook in PDF format This book is an introduction to machine learning using Python programming language with applications in finance and business. Coverages include the prediction methods of logistic regression, Naïve Bayes, k-Nearest Neighbor, Support Vector Machine, Random Forest, Gradient Boosting, and various types of Neural Networks. Performance measurements and assessments of feature importance are also explained. The book also contains detailed examples of the applications with data. Python codes are explained in a step-by-step manner using Jupyter Notebook so that the readers can practise on their own
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