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GitHub / ssp4all / machine-learning-for-business-applications

Data wrangling, Apache Spark for recommendation systems, Bitcoin prediction using regression, NLP for sentimental analysis and Deep Learning for defect detection from textured surfaces.

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ssp4all%2Fmachine-learning-for-business-applications

Stars: 0
Forks: 1
Open Issues: 2

License: None
Language: HTML
Repo Size: 634 MB
Dependencies: 30

Created: over 4 years ago
Updated: over 3 years ago
Last pushed: almost 2 years ago
Last synced: about 1 year ago

Topics: algorithms, business-intelligence, database-management, deep-learning, machine-learning

Files

Readme

Dependencies

ADBI/projects/recommendation-systems/Spark-Kafka-MongoDB_01132019/setup-files/requirements.txt pypi

Flask *
beautifulsoup4 *
bs4 *
conda *
deepwalk *
findspark *
frozendict *
futures *
gensim *
geopy *
ipython ==5.0
iso8601 *
jupyter *
kafka-python *
matplotlib *
networkx *
nltk *
notebook ==6.1.5
numpy *
py4j *
pyelasticsearch *
pymongo *
requests *
scipy *
selenium *
sklearn *
tabulate *
tldextract *
tornado ==4.5.3
wikipedia *