文件名称：ISL-python：作为Jupyter笔记本的《统计学习入门》中的实验和练习解决方案
文件大小：47.1MB
文件格式：ZIP
更新时间：2024-02-21 11:16:36
bootstrap machine-learning random-forest linear-regression statistical-learning
ISL-python：作为Jupyter笔记本的《统计学习入门》中的实验和练习解决方案
【文件预览】：
ISL-python-master
----Notebooks()
--------ch8_tree_based_methods_conceptual.ipynb(8.43MB)
--------ch3_linear_regression_conceptual.ipynb(128KB)
--------ch4_classification_conceptual.ipynb(12KB)
--------ch6_linear_model_selection_and_regularisation_labs.ipynb(291KB)
--------ch8_tree_based_methods_applied.ipynb(1007KB)
--------images()
--------ch6_linear_model_selection_and_regularisation_conceptual.ipynb(51KB)
--------data()
--------ch5_resampling_methods_conceptual.ipynb(17KB)
--------ch9_support_vector_machines_applied.ipynb(958KB)
--------ch2_statistical_learning_applied.ipynb(1.39MB)
--------ch9_support_vector_machines_labs.ipynb(561KB)
--------Source.gv(9KB)
--------ch7_moving_beyond_linearity_labs.ipynb(783KB)
--------ch2_statistical_learning_conceptual.ipynb(21KB)
--------ch9_support_vector_machines_conceptual.ipynb(1.19MB)
--------ch7_moving_beyond_linearity_applied.ipynb(1.48MB)
--------ch4_classification_applied.ipynb(2.58MB)
--------ch3_linear_regression_applied.ipynb(2.16MB)
--------ch5_resampling_methods_applied.ipynb(92KB)
--------ch6_linear_model_selection_and_regularisation_applied.ipynb(680KB)
--------Source.gv.pdf(23KB)
--------ch8_tree_based_methods_labs.ipynb(307KB)
----LICENSE(1KB)
----.gitignore(1KB)
----README.md(5KB)