Python机器学习基础源码.zip

时间:2023-04-01 09:03:55
【文件属性】:

文件名称:Python机器学习基础源码.zip

文件大小:20.11MB

文件格式:ZIP

更新时间:2023-04-01 09:03:55

机器学习 人工智能

Python机器学习源码,直接复制粘贴就好


【文件预览】:
introduction_to_ml_with_python-master
----07-working-with-text-data.ipynb(492KB)
----02-supervised-learning.ipynb(5.07MB)
----03-unsupervised-learning.ipynb(10.88MB)
----06-algorithm-chains-and-pipelines.ipynb(147KB)
----images()
--------overfitting_underfitting_cartoon.png(11KB)
--------classifier_comparison.png(500KB)
--------pipeline.svg(36KB)
--------bag_of_words.svg(66KB)
--------pipeline.png(28KB)
--------bag_of_words.png(27KB)
--------dendrogram.png(14KB)
--------iris_petal_sepal.svg(6.73MB)
--------iris_petal_sepal.png(674KB)
--------overfitting_underfitting_cartoon.svg(40KB)
--------05_gridsearch_overview.png(27KB)
--------api_table.png(22KB)
----05-model-evaluation-and-improvement.ipynb(566KB)
----preamble.py(774B)
----environment.yml(160B)
----08-conclusion.ipynb(3KB)
----README.md(4KB)
----04-representing-data-feature-engineering.ipynb(1.16MB)
----01-introduction.ipynb(238KB)
----data()
--------ram_price.csv(6KB)
--------adult.data(3.79MB)
--------citibike.csv(672KB)
----cover.jpg(75KB)
----.gitignore(32B)
----mglearn()
--------plot_kneighbors_regularization.py(944B)
--------plot_linear_regression.py(1005B)
--------plot_metrics.py(4KB)
--------plot_nn_graphs.py(3KB)
--------plot_helpers.py(3KB)
--------plot_scaling.py(1KB)
--------plot_interactive_tree.py(3KB)
--------plot_dbscan.py(2KB)
--------plot_cross_validation.py(9KB)
--------plot_grid_search.py(4KB)
--------plot_linear_svc_regularization.py(1KB)
--------plot_kmeans.py(6KB)
--------plot_knn_regression.py(1KB)
--------datasets.py(2KB)
--------plot_nmf.py(3KB)
--------__init__.py(207B)
--------plot_agglomerative.py(3KB)
--------plot_animal_tree.py(890B)
--------plot_ridge.py(1017B)
--------plot_pca.py(5KB)
--------plot_rbf_svm_parameters.py(1KB)
--------plot_2d_separator.py(5KB)
--------plot_knn_classification.py(1KB)
--------tools.py(5KB)
--------plot_decomposition.py(1KB)
--------plot_tree_nonmonotonous.py(894B)
--------plots.py(3KB)
--------plot_improper_preprocessing.py(3KB)
--------make_blobs.py(3KB)

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