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isl-python-pt's Introduction

Introduction to Statistical Learning - Python

An Introduction to Statistical Learning é um livro didático escrito por Gareth James, Daniela Witten, Trevor Hastie e Robert Tibshirani. Exercícios conceituais e aplicados são fornecidos ao final de cada capítulo abordando aprendizado supervisionado.

🚧 Este repositório está em construção

Os capítulos cobrem os seguinte conteúdos

As repostas dos exercícios teóricos podem ser encontradas nesse documento.

Capítulos Exercícios práticos
What is statistical learning? Cap 2
Regression
Classification
Resampling methods
Linear model selection and regularization
Moving beyond linearity
Tree-based methods
Support vector machines
Deep learning
Survival analysis
Unsupervised learning
Multiple testing

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