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Python Codes for Mathematical Modeling

Provided in the following formats:

1. Python codes in a Single Github Directory

Steps To Download the Following:

(i) Right Click on the link
(ii) Select "Save link as"
(iii) Choose your destination folder and click OK.

Chapter-by-Chapter Python Code (.html):

Chapter 2: Basics of R Programming
Chapter 3: Linear Models Using Regression and Data
Chapter 4: Principles of Mathematical Modeling
Chapter 5: Mathematical Modeling by Linear Algebra
Chapter 6: Mathematical Modeling by Calculus
Chapter 7: Probabilistic Models
Chapter 8: Stochastic Models
Chapter 9: Visualize Mathematical Models by R
Chapter 10: Statistical Models and Hypothesis Tests
Chapter 12: Concepts of Machine Learning

Chapter-by-Chapter Python Code (.ipynb):

Chapter 2: Basics of R Programming
Chapter 3: Linear Models Using Regression and Data
Chapter 4: Principles of Mathematical Modeling
Chapter 5: Mathematical Modeling by Linear Algebra
Chapter 6: Mathematical Modeling by Calculus
Chapter 7: Probabilistic Models
Chapter 8: Stochastic Models
Chapter 9: Visualize Mathematical Models by R
Chapter 10: Statistical Models and Hypothesis Tests
Chapter 12: Concepts of Machine Learning

Citation: Shen, S.S.P., 2024: Introduction to Modern Mathematical Modeling with R: A User's Manual to Train Mathematical Consultants, Cambridge University Press, Cambridge, United Kingdom, 391pp.