datascience:使用 Python 进行基层机器学习 - 示例和教程
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2021-05-30
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datascience:使用 Python 进行基层机器学习 - 示例和教程 （610个子文件） 
dataset-har-PUC-Rio-ugulino.csv 13.62MB pml-training.csv 11.64MB CDR.csv 6.9MB Crimes_-_2001_to_present.csv 3.03MB kc_house_data.csv 2.4MB Skyserver_SQL2_27_2018 6_51_39 PM.csv 1.57MB tweets.csv 111KB baseball.csv 66KB titanic_train.csv 60KB kidney_disease.csv 47KB Credit.csv 26KB Auto.csv 18KB Wholesale-customers.csv 15KB cadairydata.csv 12KB Advertising.csv 5KB face_labels.csv 1KB agaricus-lepiota.data 365KB parkinsons.data 40KB breast-cancer-wisconsin.data 19KB wheat.data 11KB
tdecrule.gif 11KB .gitignore 244B .gitignore 26B train_catvnoncat.h5 2.45MB test_catvnoncat.h5 602KB catNoCat.ipynb 2.84MB catNoCat-checkpoint.ipynb 2.84MB dairy-time-forecast.ipynb 1.21MB timeSeriesBasic.ipynb 1.01MB isomap-pca.ipynb 726KB clustering.ipynb 292KB clustering-checkpoint.ipynb 292KB LRfeatures.ipynb 274KB knn.ipynb 270KB LRinference.ipynb 258KB Regularisation.ipynb 196KB word-vectors.ipynb 167KB svm.ipynb 149KB LogisticRegression.ipynb 146KB LinearRegression.ipynb 138KB CV.ipynb 134KB trees.ipynb 125KB digits.ipynb 119KB tweets.ipynb 118KB CleanDataHAR.ipynb 91KB moneyball.ipynb 84KB LogisticRegressionSM.ipynb 75KB overfit.ipynb 63KB jhu.ipynb 56KB prob.ipynb 48KB LRaudio.ipynb 45KB LogisticRegressionSKL.ipynb 38KB forest.ipynb 34KB introNLTK.ipynb 33KB helloworld-nlp.ipynb 29KB multipleLogRegSky.ipynb 26KB word_count_dataframe.ipynb 25KB
Handbag.jpg 119KB one-sample-t-test.jpg 42KB LICENSE 11KB face_data.mat 23.11MB mnist-data.mat 7.16MB codebook.md 6KB README.md 4KB readme.md 3KB README.md 1KB word_embeddings_subset.p 302KB
Machine Learning with Python.pdf 113KB stanford_armadillo.ply 6.6MB
Bunny+cat.png 401KB LogReg_kiank.png 187KB wordcloud1342.png 150KB backprop_kiank.png 101KB architecture.png 90KB wordcloud804.png 85KB nn.png 85KB wins.png 49KB backward.png 45KB modelsErrors.png 43KB forward.png 38KB statsmodels_hybi_banner.png 30KB logistic.png 17KB pvalue.png 16KB models.png 12KB lme_flu_residuals_fitted5.png 9KB tdistr.png 7KB nn_helpers.py 11KB stats.py 9KB stats_unittest.py 6KB testStats.py 4KB boxplot.py 3KB ex1plot.py 1KB scatterWine.py 1KB ex2plot.py 1001B metadata.py 193B __init__.py 0B run_analysis.r 4KB optdigits.tes 259KB optdigits.tra 550KB
ThePrince.txt 299KB共 610 条
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