T
The-Little-Book-of-ML-Metrics
NannyML/The-Little-Book-of-ML-Metrics
The book every data scientist needs on their desk.
★999stars
Jupyter Notebook
Updated: 6d ago
📋 Project at a Glance
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What's this?A , built with Jupyter Notebook open-source project in the Learning & Resources category, core strengths: book/classification-metrics
Who made it?Maintained by NannyML team, 999⭐ on GitHub, #1215 out of 3640 in Learning & Resources
Why does it exist?In the Learning & Resources space, book workflows faced efficiency bottlenecks. The-Little-Book-of-ML-Metrics was built by NannyML to address these classification-metrics challenges.
What can it do?Key use cases: clustering-metrics, computer-vision-metrics, data-science
How to install with AI?Use an AI coding assistant to follow the README and automatically handle the install and environment setup.
🔗 github.com/NannyML/The-Little-Book-of-ML-Metrics | 官网 https://www.nannyml.com/metrics
🔗 github.com/NannyML/The-Little-Book-of-ML-Metrics | 官网 https://www.nannyml.com/metrics
Topics
bookclassification-metricsclustering-metricscomputer-vision-metricsdata-sciencemachine-learningmachine-learning-evaluationmachine-learning-metricsnlp-metricspythonranking-metricsregression-metrics