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Natural-Language-Processing-Fundamentals ganapetya · PARTIAL

Use Python and NLTK to build out your own text classifiers and solve common NLP problems

github.com/ganapetya/Natural-Language-Processing-Fundamentals · ★ 1 · Forks 0 · Size 370.4 MB

SUMMARY

Technologies 17
Scored 11
Observed 11
Practices 6
Evidence 18
Skips 6

COVERAGE

Analyzed 2578 files · 112 commits · 0 API calls

TECHNOLOGIES & DEPTH

JSON LANGUAGE Depth 70
4 files · PRODUCTION
Markdown LANGUAGE Depth 70
7 files · PRODUCTION
XML LANGUAGE Depth 70
1 files · PRODUCTION
Python LANGUAGE Depth 70
2 files · PRODUCTION
pip BUILD_TOOL Depth 80
1 files · CONFIGURATION
AWS SDK CLOUD Depth —
0 files · config only
Apache Kafka MESSAGE_BROKER Depth 81
10 files · CONFIGURATION
Jinja2 LIBRARY Depth —
0 files · config only
MarkupSafe LIBRARY Depth —
0 files · config only
MongoDB DATABASE Depth 84
5 files · CONFIGURATION
NumPy LIBRARY Depth 58
1 files · PRODUCTION
Prettier QUALITY Depth 65
1 files · CONFIGURATION
RabbitMQ MESSAGE_BROKER Depth 72
2 files · CONFIGURATION
Redis CACHE Depth 81
8 files · CONFIGURATION
Requests LIBRARY Depth —
0 files · config only
Werkzeug LIBRARY Depth —
0 files · config only
pandas LIBRARY Depth —
0 files · config only

PRACTICES

documentation · observedautomated_tests · observedcontinuous_integration · absentcontainerization · absentlinting · absentformatting · absent

ACTIVITY & OWNERSHIP

First commit 2018-11-06
Last commit 2020-07-08
Active months 7
Commits 112

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