ml-specialization-exercises azaynul10 · COMPLETED
Solutions to exercises from the Machine Learning Specialization on Coursera by DeepLearning.AI and Stanford, taught by Andrew Ng. Covers regression, classification, advanced algorithms, unsupervised learning, recommenders, and reinforcement learning using Python, NumPy, Pandas, Matplotlib, scikit-learn, and TensorFlow/Keras.
github.com/azaynul10/ml-specialization-exercises · ★ 0 · Forks 0 · Size 345 KB
SUMMARY
Technologies 2
Scored 2
Observed 2
Practices 6
Evidence 2
Skips 0
COVERAGE
Analyzed 7 files · 15 commits · 0 API calls
TECHNOLOGIES & DEPTH
Markdown LANGUAGE Depth 70
1 files · PRODUCTION
RabbitMQ MESSAGE_BROKER Depth 65
1 files · CONFIGURATION
PRACTICES
documentation · observedautomated_tests · absentcontinuous_integration · absentcontainerization · absentlinting · absentformatting · absent
ACTIVITY & OWNERSHIP
First commit 2024-06-23
Last commit 2024-06-26
Active months 1
Commits 15