An introduction to statistical learning: With applications in python
James, Gareth
An introduction to statistical learning: With applications in python - New York, Springer: 2023. - xv, 607p., ind., 25 cm X 18 cm - Springer texts in statistics .
Recommended by: Banikanta Mishra
Content:
Introduction
Statistical Learning
Linear Regression
Classification
Resampling Methods
Linear Model Selection and Regularization
Moving Beyond Linearity
Tree-Based Methods
Support Vector Machines
Deep Learning
Survival Analysis and Censored data
Unsupervised Learning
Multiple Testing
978-3031387463
--mathematical models--mathematical statistics--python--computer program language
519.5
An introduction to statistical learning: With applications in python - New York, Springer: 2023. - xv, 607p., ind., 25 cm X 18 cm - Springer texts in statistics .
Recommended by: Banikanta Mishra
Content:
Introduction
Statistical Learning
Linear Regression
Classification
Resampling Methods
Linear Model Selection and Regularization
Moving Beyond Linearity
Tree-Based Methods
Support Vector Machines
Deep Learning
Survival Analysis and Censored data
Unsupervised Learning
Multiple Testing
978-3031387463
--mathematical models--mathematical statistics--python--computer program language
519.5