handson-ml2 waltereidi · PARTIAL
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
github.com/waltereidi/handson-ml2 · ★ 1 · Forks 0 · Size 150.5 MB
SUMMARY
Technologies 12
Scored 9
Observed 9
Practices 6
Evidence 13
Skips 3
COVERAGE
Analyzed 79 files · 915 commits · 0 API calls
TECHNOLOGIES & DEPTH
Dockerfile LANGUAGE Depth 70
1 files · PRODUCTION
Shell LANGUAGE Depth 70
1 files · PRODUCTION
Markdown LANGUAGE Depth 70
11 files · PRODUCTION
YAML LANGUAGE Depth 70
2 files · PRODUCTION
Python LANGUAGE Depth 70
1 files · PRODUCTION
pip BUILD_TOOL Depth 80
1 files · CONFIGURATION
Apache Kafka MESSAGE_BROKER Depth 61
1 files · CONFIGURATION
MongoDB DATABASE Depth 65
1 files · CONFIGURATION
NumPy LIBRARY Depth —
0 files · config only
RabbitMQ MESSAGE_BROKER Depth 73
4 files · CONFIGURATION
Requests LIBRARY Depth —
0 files · config only
pandas LIBRARY Depth —
0 files · config only
PRACTICES
documentation · observedautomated_tests · observedcontinuous_integration · absentcontainerization · observedlinting · absentformatting · absent
ACTIVITY & OWNERSHIP
First commit 2016-02-16
Last commit 2023-02-04
Active months 69
Commits 915