Coursera - Applied Text Mining in Python

[AD-TEAM]

460.66 MB | 00:13:57 | mp4 | 1280X720 | 16:9
Genre:eLearning |Language:English

Files Included :
01 introduction-to-text-mining (5.3 MB)
04 handling-text-in-python (22.23 MB)
06 regular-expressions (23.35 MB)
07 demonstration-regex-with-pandas-and-named-groups (7.15 MB)
09 internationalization-and-issues-with-non-ascii-characters (15.9 MB)
01 basic-natural-language-processing (8.01 MB)
02 basic-nlp-tasks-with-nltk (24.13 MB)
03 advanced-nlp-tasks-with-nltk (23.22 MB)
04 application-spell-checker (10.61 MB)
01 text-classification (24.66 MB)
02 identifying-features-from-text (34.32 MB)
03 naive-bayes-classifiers (32.1 MB)
04 naive-bayes-variations (21.88 MB)
05 support-vector-machines (31.74 MB)
06 learning-text-classifiers-in-python (20.95 MB)
07 demonstration-case-study-sentiment-analysis (21.52 MB)
01 semantic-text-similarity (23.4 MB)
02 topic-modeling (22.58 MB)
03 generative-models-and-lda (41.28 MB)
05 information-extraction (37.03 MB)

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