FILES FOR FOURTH EDITION:
SALARY vs. AGE BABY
EXAMPLE (Chs 1, 3, and 6)
COUNTRY RISK CASE (Ch 2)
Python Results: ipynb
file (zipped)
IOWA HOUSE PRICE
CASE: LINEAR REGRESSION (Ch 3)
Python
Implementation: ipynb file (zipped)
Python Implementation: html file
IOWA HOUSE PRICE
CASE: DECISION TREE (Ch 4)
Python Implementation: ipynb file (zipped)
Python implementation: html file
IOWA HOUSE PRICE
CASE: SVM REGRESSION (Ch 5)
SVM Regression Fig 5.7: Excel file
SVM Regression Fig 5.8: Excel file
LENDING CLUB CASE:
LOGISTIC REGRESSION (Ch 3)
Excel Logistic regression: Excel file
Python Implementation Logistic Regression: ipynb file (zipped)
Python Implementation Logistic Regression: html file
LENDING CLUB CASE:
DECISION TREE (Ch 4)
Excel Decision Tree: Excel file
Python Implementation Decision Tree: ipynb file (zipped)
Python Implementation Decision Tree: html file
SVM BABY EXAMPLE
(Ch5)
Excel Implementation: Excel file
Python Implementation: ipynb file (zipped)
BLACK-SCHOLES EXAMPLE
(Ch6)
BlackScholesReplicationPythonImplementation:ipynb (zipped)
BlackScholesReplicationPythonImplementation:html file
VOLATILITY SURFACE
CASE (Ch 6)
PythonImplementation:jpynb file (zipped)
PythonImplementation:
html file
AUTOENCODER EXAMPLE
(Ch7)
Excel Linear Activation Fns Implementation
Autoencoder NonLinear Activation Fns: ipynb file (zipped)
Autoencoder NonLinear Activation Fns: html file
MULTI-ARMED BANDIT
EXAMPLE (Ch 8)
Excel Implementation 5000 trials
Python Implementation Table 8_5: ipynb file (zipped)
Python Implementation Table 8_5:
html file
NIM EXAMPLE (Ch 8)
Opponent behaves randomly, Monte Carlo method: Excel file
Opponent behaves randomly, Temporal difference learning: Excel file
Opponent learns: Monte Carlo method: Excel file
Opponent learns: Temporal difference learning: Excel file
Python implementation ipynb file (zipped)
Python implementation html file
OPTIMAL TRADE EXECUTION EXAMPLE (Ch 8)
Optimal Trade Execution: html file
Optimal Trade Execution: ipynb file (zipped)