ML in Business Finance Using Python by Kian Guan Lim (.PDF)

Posted on by

File Size: 19.7 MB

Machine Learning in Business Finance Using Python by Kian Guan Lim
Requirements: .PDF reader, 19.7 MB
Overview: 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. Several of Python’s open-source libraries or packages are commonly used, e.g., Pandas, Numpy, math, Matplotlib, Scikit-Learn (Sklearn), SciPy, Keras, TensorFlow, etc.
Genre: Non-Fiction > Tech & Devices

Free Download links:

https://trbt.cc/koqwhywcqnpt.html

https://katfile.cloud/s9frk4m7ot0o/Machine_Learning_in_Business_Finance_Using_Python.pdf.html