Robert Layton - Learning Data Mining with Python - 2015
Robert Layton - Learning Data Mining with Python - 2015 metadata, size 30.81 MB, 47 files, category other, indexed at 2026-08-04.
资源标识
Infohash7a39124b234edd70f1321349790ec3b90300800f
总大小30.8 MB
格式ipynb
分类其他
文件数47
发掘时间（北京时间）2026-08-04 15:10:13
最后活跃（北京时间）2026-08-04 15:10:13
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完整磁力链接
magnet:?xt=urn:btih:7a39124b234edd70f1321349790ec3b90300800f&dn=Robert%20Layton%20-%20Learning%20Data%20Mining%20with%20Python%20-%202015
迅雷地址
thunder://QUFtYWduZXQ6P3h0PXVybjpidGloOjdhMzkxMjRiMjM0ZWRkNzBmMTMyMTM0OTc5MGVjM2I5MDMwMDgwMGYmZG49Um9iZXJ0JTIwTGF5dG9uJTIwLSUyMExlYXJuaW5nJTIwRGF0YSUyME1pbmluZyUyMHdpdGglMjBQeXRob24lMjAtJTIwMjAxNVpa
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文件列表
| 文件名 | 格式 | 大小 |
|---|---|---|
| ch1_affinity-checkpoint.ipynb | ipynb | 13.9 KB |
| ch1_oner_application-checkpoint.ipynb | ipynb | 13.5 KB |
| affinity_dataset.txt | txt | 1000 B |
| ch1_affinity.ipynb | ipynb | 13.9 KB |
| ch1_affinity_create.ipynb | ipynb | 3.5 KB |
| ch1_oner_application.ipynb | ipynb | 13.5 KB |
| Chapter 10 (Cluster Types)-checkpoint.ipynb | ipynb | 424.6 KB |
| Chapter 10 Clusterer-checkpoint.ipynb | ipynb | 63.2 KB |
| Chapter 10 Image creation 10_02.png-checkpoint.ipynb | ipynb | 1.0 MB |
| Chapter 10-checkpoint.ipynb | ipynb | 72 B |
| Chapter 10 Clusterer.ipynb | ipynb | 77.1 KB |
| Chapter 11 (CIFAR).ipynb | ipynb | 57.5 KB |
| Chapter 11 (Theano and Lasagne).ipynb | ipynb | 60.9 KB |
| CH12 MapReduce Basics.ipynb | ipynb | 37.9 KB |
| Chapter 12 (NB Predict).ipynb | ipynb | 10.3 KB |
| Chapter 12 (Test load).ipynb | ipynb | 1.7 KB |
| extract_posts.py | py | 882 B |
| nb_predict.py | py | 1.9 KB |
| nb_train.py | py | 2.0 KB |
| Ionosphere Nearest Neighbour-checkpoint.ipynb | ipynb | 125.7 KB |
| Ionosphere Nearest Neighbour.ipynb | ipynb | 125.7 KB |
| Basketball Results #2-checkpoint.ipynb | ipynb | 41.4 KB |
| Basketball Results-checkpoint.ipynb | ipynb | 77.0 KB |
| Basketball Results.ipynb | ipynb | 75.8 KB |
| ch4 Affinity Analysis.ipynb | ipynb | 48.2 KB |
| ch5_adult-checkpoint.ipynb | ipynb | 13.9 KB |
| ch5_advertisements-checkpoint.ipynb | ipynb | 29.3 KB |
| adult_tests.py | py | 1.0 KB |
| ch5_adult.ipynb | ipynb | 13.9 KB |
| ch5_advertisements.ipynb | ipynb | 29.3 KB |
| ch6_classify_twitter.ipynb | ipynb | 5.4 KB |
| ch6_get_twitter.ipynb | ipynb | 18.0 KB |
| ch6_label_twitter.ipynb | ipynb | 7.0 KB |
| replicable_dataset.json | json | 4.9 KB |
| CH7 From Load.ipynb | ipynb | 11.5 MB |
| ch7_collect_twitter_data.ipynb | ipynb | 482.9 KB |
| ch7_part2_twitter.ipynb | ipynb | 544.2 KB |
| CH8 Rewrite-checkpoint.ipynb | ipynb | 286.1 KB |
| Sigmoid-checkpoint.ipynb | ipynb | 81.0 KB |
| CH8 Rewrite.ipynb | ipynb | 286.1 KB |
| Sigmoid.ipynb | ipynb | 81.0 KB |
| Chapter 9 Authorship Analysis-checkpoint.ipynb | ipynb | 19.3 KB |
| Chapter 9 Authorship Analysis.ipynb | ipynb | 876.1 KB |
| getdata.py | py | 3.6 KB |
| Robert Layton - Learning Data Mining with Python - 2015.epub | epub | 4.0 MB |
| Robert Layton - Learning Data Mining with Python - 2015.mobi | mobi | 6.4 MB |
| Robert Layton - Learning Data Mining with Python - 2015.pdf | 3.9 MB |
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