Title:
learning-data-mining-with-python
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Description: Python data mining entry and practice with the book source code, using Chapter1-Chapter12. IPython notebook operation, including social media mining, author attribution, news corpus analysis, big data processing and application.
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Code_REWRITE\Chapter 1
............\.........\.ipynb_checkpoints
............\.........\..................\ch1_affinity-checkpoint.ipynb
............\.........\..................\ch1_oner_application-checkpoint.ipynb
............\.........\affinity_dataset.txt
............\.........\ch1_affinity.ipynb
............\.........\ch1_affinity_create.ipynb
............\.........\ch1_oner_application.ipynb
............\Chapter 10
............\..........\.ipynb_checkpoints
............\..........\..................\Chapter 10 (Cluster Types)-checkpoint.ipynb
............\..........\..................\Chapter 10 Clusterer-checkpoint.ipynb
............\..........\..................\Chapter 10 Image creation 10_02.png-checkpoint.ipynb
............\..........\..................\Chapter 10-checkpoint.ipynb
............\..........\Chapter 10 Clusterer.ipynb
............\Chapter 11
............\..........\Chapter 11 (CIFAR).ipynb
............\..........\Chapter 11 (Theano and Lasagne).ipynb
............\Chapter 12
............\..........\CH12 MapReduce Basics.ipynb
............\..........\Chapter 12 (NB Predict).ipynb
............\..........\Chapter 12 (Test load).ipynb
............\..........\extract_posts.py
............\..........\nb_predict.py
............\..........\nb_train.py
............\Chapter 2
............\.........\.ipynb_checkpoints
............\.........\..................\Ionosphere Nearest Neighbour-checkpoint.ipynb
............\.........\Ionosphere Nearest Neighbour.ipynb
............\Chapter 3
............\.........\.ipynb_checkpoints
............\.........\..................\Basketball Results #2-checkpoint.ipynb
............\.........\..................\Basketball Results-checkpoint.ipynb
............\.........\Basketball Results.ipynb
............\Chapter 4
............\.........\.ipynb_checkpoints
............\.........\ch4 Affinity Analysis.ipynb
............\Chapter 5
............\.........\.ipynb_checkpoints
............\.........\..................\ch5_adult-checkpoint.ipynb
............\.........\..................\ch5_advertisements-checkpoint.ipynb
............\.........\adult_tests.py
............\.........\ch5_adult.ipynb
............\.........\ch5_advertisements.ipynb
............\Chapter 6
............\.........\ch6_classify_twitter.ipynb
............\.........\ch6_get_twitter.ipynb
............\.........\ch6_label_twitter.ipynb
............\.........\replicable_dataset.json
............\Chapter 7
............\.........\CH7 From Load.ipynb
............\.........\ch7_collect_twitter_data.ipynb
............\.........\ch7_part2_twitter.ipynb
............\Chapter 8
............\.........\.ipynb_checkpoints
............\.........\..................\CH8 Rewrite-checkpoint.ipynb
............\.........\..................\Sigmoid-checkpoint.ipynb
............\.........\CH8 Rewrite.ipynb
............\.........\Sigmoid.ipynb
............\Chapter 9
............\.........\.ipynb_checkpoints
............\.........\..................\Chapter 9 Authorship Analysis-checkpoint.ipynb
............\.........\Chapter 9 Authorship Analysis.ipynb
............\.........\getdata.py
