Predmachlearn_CP
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2021-05-15
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Predmachlearn_CP-master.zip （98个子文件） 
Predmachlearn_CP-master 
.gitignore 67B
Rplot01_pairs_total_accel.pdf 2.4MB pml.R.pdf 48KB Rplot01_total_accel.pdf 317KB
Rplot.png 95KB pml.R 6KB Rplot01_roll_pitch_yaw.pdf 4.17MB pml_files figure-html Explore-6.png 302KB Accuracy-1.png 12KB unnamed-chunk-4-1.png 12KB Boxplots-2.png 38KB Train-1.png 12KB Explore-3.png 40KB Boxplots-1.png 38KB Explore-5.png 27KB Explore-1.png 79KB Explore-12.png 255KB Explore-4.png 40KB unnamed-chunk-2-1.png 16KB unnamed-chunk-5-1.png 12KB Explore-8.png 33KB Explore-13.png 245KB Explore-7.png 33KB Explore-11.png 262KB Train0-1.png 16KB Boxplots-4.png 25KB Boxplots-3.png 37KB Explore-9.png 22KB Correlations-1.png 60KB Explore-10.png 252KB Explore-2.png 41KB pml_submit.R 313B
Practical Machine Learning.docx 107KB Rplot01_z.pdf 3.59MB Rplot01_x.pdf 4.17MB Rplot01_y.pdf 3.98MB Rplot01_pairs_roll_pitch_yaw.pdf 33.38MB Predmachlearn_CP.Rproj 205B README.md 19B .Rproj.user 73942C28 sdb prop E3ABC6FB 32B INDEX 192B 68D2FC47 32B 7E063299 3B s-CB292793 8AB8D8B3 13KB lock_file 0B 7C2343A2 788B 2870BBE3 7KB saved_source_markers 27B pcs workbench-pane.pper 40B source-pane.pper 23B files-pane.pper 163B windowlayoutstate.pper 299B persistent-state 462B
pml.xlsx 19.18MB
pml.html 942KB Human Activity Recognition.docx 261KB .gitignore~ 66B Rplot01_pair_total_accel_user_name.pdf 2.34MB pml_cache html __packages 126B unnamed-chunk-1_b1f0a451d3d03cb5e859989873bf62ee.RData 3KB Train0_77027370bd641e1e4cbcadccc232472b.RData 3KB unnamed-chunk-6_6c3645e00f2c7f4f9cf07d84c3fd3017.rdb 9KB unnamed-chunk-4_a371eaf08b01d62be7f0b6879c402941.rdb 13.96MB unnamed-chunk-5_9febbb9a203405ed223589fed8ab5e5a.rdx 139B unnamed-chunk-2_213ce157ef8039d09dc9ebb82e4db4d8.RData 3KB unnamed-chunk-6_6c3645e00f2c7f4f9cf07d84c3fd3017.RData 3KB Accuracy_9047a121efa0f80aa52c5f1d92ff18be.rdx 139B Train_9bc738a46418b7987a58a58e2247d2a4.rdb 13.96MB Functions_d0a2258119d4de35d2d528bff0cddf1b.RData 3KB Train_9bc738a46418b7987a58a58e2247d2a4.RData 3KB unnamed-chunk-4_a371eaf08b01d62be7f0b6879c402941.RData 3KB unnamed-chunk-1_b1f0a451d3d03cb5e859989873bf62ee.rdb 3.47MB Declarations_799666ab963ba9baafb701de47ebd506.rdx 280B unnamed-chunk-6_6c3645e00f2c7f4f9cf07d84c3fd3017.rdx 217B unnamed-chunk-5_9febbb9a203405ed223589fed8ab5e5a.rdb 796B unnamed-chunk-3_9c4f27337322b366197e7fb80b31bf66.rdx 113B unnamed-chunk-5_9febbb9a203405ed223589fed8ab5e5a.RData 3KB unnamed-chunk-3_9c4f27337322b366197e7fb80b31bf66.rdb 0B Functions_d0a2258119d4de35d2d528bff0cddf1b.rdb 7KB Functions_d0a2258119d4de35d2d528bff0cddf1b.rdx 202B Accuracy_9047a121efa0f80aa52c5f1d92ff18be.rdb 796B unnamed-chunk-4_a371eaf08b01d62be7f0b6879c402941.rdx 175B Train0_77027370bd641e1e4cbcadccc232472b.rdx 243B Declarations_799666ab963ba9baafb701de47ebd506.rdb 3.47MB unnamed-chunk-2_213ce157ef8039d09dc9ebb82e4db4d8.rdx 243B Outliers_d2dd888ebd0680de89568a0e61185033.rdb 0B unnamed-chunk-3_9c4f27337322b366197e7fb80b31bf66.RData 3KB unnamed-chunk-2_213ce157ef8039d09dc9ebb82e4db4d8.rdb 71.82MB Declarations_799666ab963ba9baafb701de47ebd506.RData 3KB Outliers_d2dd888ebd0680de89568a0e61185033.rdx 113B Train_9bc738a46418b7987a58a58e2247d2a4.rdx 175B unnamed-chunk-1_b1f0a451d3d03cb5e859989873bf62ee.rdx 280B Outliers_d2dd888ebd0680de89568a0e61185033.RData 3KB Accuracy_9047a121efa0f80aa52c5f1d92ff18be.RData 3KB Train0_77027370bd641e1e4cbcadccc232472b.rdb 71.82MB pml-testing.csv 15KB pml.Rmd 12KB pml-training.csv 11.64MB
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