文件名称：Python数据挖掘入门与实战
文件大小：22.08MB
文件格式：RAR
更新时间：2020-11-14 03:11:17
Python 数据挖掘 源代码
Python语言描述数据挖掘，用于入门与实战，包含代码及代码演示，用心看能快速掌握
【文件预览】：
Python数据挖掘入门与实践_代码演示.pdf
Python数据挖掘入门与实践.pdf
Code
----Chapter 11()
--------Chapter 11 (Theano and Lasagne).ipynb(61KB)
--------Chapter 11 (CIFAR).ipynb(57KB)
----Chapter 9()
--------.ipynb_checkpoints()
--------getdata.py(4KB)
--------Chapter 9 Authorship Analysis.ipynb(876KB)
----Chapter 12()
--------extract_posts.py(882B)
--------nb_train.py(2KB)
--------nb_predict.py(2KB)
--------Chapter 12 (Test load).ipynb(2KB)
--------CH12 MapReduce Basics.ipynb(38KB)
--------Chapter 12 (NB Predict).ipynb(10KB)
----Chapter 5()
--------.ipynb_checkpoints()
--------ch5_advertisements.ipynb(29KB)
--------adult_tests.py(1KB)
--------ch5_adult.ipynb(14KB)
----Chapter 1()
--------.ipynb_checkpoints()
--------ch1_oner_application.ipynb(13KB)
--------affinity_dataset.txt(1000B)
--------ch1_affinity_create.ipynb(3KB)
--------ch1_affinity.ipynb(14KB)
----Chapter 8()
--------.ipynb_checkpoints()
--------Sigmoid.ipynb(81KB)
--------CH8 Rewrite.ipynb(286KB)
----Chapter 3()
--------.ipynb_checkpoints()
--------Basketball Results.ipynb(76KB)
----Chapter 6()
--------ch6_get_twitter.ipynb(18KB)
--------ch6_label_twitter.ipynb(7KB)
--------ch6_classify_twitter.ipynb(5KB)
--------replicable_dataset.json(5KB)
----Chapter 10()
--------.ipynb_checkpoints()
--------Chapter 10 Clusterer.ipynb(77KB)
----Chapter 4()
--------.ipynb_checkpoints()
--------ch4 Affinity Analysis.ipynb(48KB)
----Chapter 7()
--------ch7_part2_twitter.ipynb(544KB)
--------CH7 From Load.ipynb(11.49MB)
--------ch7_collect_twitter_data.ipynb(483KB)
----Chapter 2()
--------Ionosphere Nearest Neighbour.ipynb(126KB)
--------.ipynb_checkpoints()