James, Gareth <br/><br/>
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 .
<br/><br/> Recommended by: Banikanta Mishra 
<br/><br/> Content:<br/><br/>Introduction<br/>Statistical Learning<br/>Linear Regression<br/>Classification<br/>Resampling Methods<br/>Linear Model Selection and Regularization<br/>Moving Beyond Linearity<br/>Tree-Based Methods<br/>Support Vector Machines<br/>Deep Learning<br/>Survival Analysis and Censored data<br/>Unsupervised Learning<br/>Multiple Testing 
<br/><br/><label>ISBN: </label>978-3031387463 
<br/><br/><label>Subjects--Topical Terms: </label>--mathematical models--mathematical statistics--python--computer program language
<br/><br/><label>Dewey Class. No.: </label>519.5