stat451-machine-learning-fs20:STAT 451
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stat451-machine-learning-fs20:STAT 451 （104个子文件） 
bibliography.bib 350B bibliography.bib 350B ieee.bst 19KB ieee.bst 19KB iris_mod.csv 6KB iris.csv 5KB iris.csv 5KB categoricaldata.csv 86B missingdata.csv 43B wdbc.data 121KB .gitignore 2KB 04_scipython__code.ipynb 216KB 05-preprocessing-and-sklearn__notes.ipynb 189KB 02_knn_demo.ipynb 189KB 10_08_1stderr.ipynb 176KB 06-trees_demo_without_graphviz.ipynb 107KB 09-eval2-ci__3_pessimistic-bias-in-holdout.ipynb 84KB 12_4_roc.ipynb 81KB 09-eval2-ci__4-confidence-intervals_mnist.ipynb 67KB 09-eval2-ci__4-confidence-intervals_iris.ipynb 66KB 09-eval2-ci__1_distribution-and-subsampling.ipynb 56KB 10_06_kfold-sele.ipynb 45KB 09-eval2-ci__2_holdout-and-repeated-sampling.ipynb 35KB 12_1_confusion-matrix.ipynb 29KB 07_code-from-slides.ipynb 22KB 06-trees_demo.ipynb 21KB 11-eval4-algo__nested-cv_verbose1.ipynb 19KB 11-eval4-algo__nested-cv_verbose2.ipynb 19KB 12_2_pre-recall-f1.ipynb 15KB 10_04_kfold-eval.ipynb 11KB 09-eval2-ci__5.ipynb 11KB 11-eval4-algo__nested-cv_compact.ipynb 10KB 05-bonus-column-transformer.ipynb 10KB 12_3_balanced-acc-Copy1.ipynb 2KB project-report-assessment.md 4KB project-proposal-assessment.md 877B README.md 876B project-presentation-assessment.md 395B example-presentations.md 259B
example-proposal.pdf 6.12MB 08-model-eval-1-intro__slides.pdf 5.03MB 10_eval3-cv__slides.pdf 3.34MB 05-preprocessing-and-sklearn__slides.pdf 3.13MB 06-trees__slides.pdf 2.81MB 12_eval5-metrics__slides.pdf 2.76MB 07-ensembles__notes.pdf 2MB not-own-figure.pdf 205KB iris-subsampling.pdf 192KB google-scholar.pdf 104KB google-scholar.pdf 104KB transformer-api.pdf 30KB decisionreg.pdf 29KB eda.pdf 27KB sklearn-pipeline.pdf 27KB estimator-api.pdf 25KB holdout-tuning.pdf 15KB 01-ml-overview__slides.pdf 9.35MB 07-ensembles__slides.pdf 4.77MB 09-eval2-ci__slides.pdf 4.58MB 02-knn__slides.pdf 3.99MB 06-trees__notes.pdf 1.34MB 01-ml-overview__notes.pdf 1.32MB 02-knn__notes.pdf 1.18MB 11-eval4-algo__slides.pdf 1.1MB 08-model-eval-1-intro__notes.pdf 1.08MB 10_eval3-cv__notes.pdf 895KB 09-eval2-ci__notes.pdf 869KB example-report.pdf 505KB 11-eval4-algo__notes.pdf 500KB proposal.pdf 486KB 03-python__notes.pdf 267KB report.pdf 96KB
numpy-nature-1.png 214KB random_2.png 178KB random_1.png 167KB sklearn-pipeline.png 123KB transpose.png 95KB matmatmul.png 92KB matmul.png 85KB ufunc.png 84KB broadcasting-2.png 82KB array_2.png 76KB array_1.png 71KB transformer-api.png 60KB iris-subsampling.png 55KB holdout-tuning.png 52KB nested-cv-image.png 44KB estimator-api.png 42KB broadcasting-1.png 38KB output_174_0.png 22KB output_171_0.png 14KB output_188_0.png 14KB output_176_0.png 13KB output_183_0.png 11KB output_173_0.png 10KB output_185_0.png 8KB output_181_0.png 5KB output_178_0.png 4KB output_180_0.png 4KB statcourse.sty 8KB共 104 条
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