{"adoption": {"forks": 279, "observed_at": "2026-08-28T04:03:14.598202+00:00", "stars": 1017}, "canonical_url": "https://ross.abutalabs.com/products/machine-learning-in-action", "card": {"archived": false, "artifact_type": "learning-resource", "description": "⚡️⚡️⚡️《机器学习实战》代码（基于Python3）🚀", "domain": ["machine-learning", "tutorials", "education"], "enriched": true, "function": ["machine-learning", "developer-tools"], "health_score": 20, "homepage": "https://blog.csdn.net/tefuirnever", "language": "Python", "license": null, "license_family": "other", "maturity": "maintenance", "member_repos": ["TeFuirnever/Machine-Learning-in-Action"], "name": "TeFuirnever/Machine-Learning-in-Action", "platform": ["python", "cross-platform"], "pushed_at": "2020-02-05T11:37:01+00:00", "repo": "TeFuirnever/Machine-Learning-in-Action", "stars": 1017, "tags": ["machine-learning-in-action", "knn", "decision-tree", "naive-bayes", "logistic-regression", "svm", "adaboost", "regression", "chinese", "book-companion-code"], "topics": ["knn", "decisiontree", "naivebayes", "logistic", "svm", "adaboost", "regression", "regression-trees"], "urls": [], "use_cases": ["learn machine learning algorithms from scratch in Python", "study KNN, decision trees, and naive Bayes implementations", "understand how SVM and AdaBoost work with example code", "practice regression and regression trees on real datasets", "follow a book-based machine learning tutorial with code", "get example datasets for classic ML algorithms"], "what_it_is": "Python 3 companion code for the book 'Machine Learning in Action', implementing classic ML algorithms chapter by chapter (KNN, decision trees, naive Bayes, logistic regression, SVM, AdaBoost, regression). It is paired with the author's CSDN blog tutorials for guided learning.", "when_to_avoid": ["you need production-ready or well-tested ML libraries", "you want deep learning or modern frameworks like PyTorch/TensorFlow", "you need a maintained, licensed package with active development"], "when_to_choose": ["you are learning ML fundamentals and want readable, from-scratch Python implementations", "you are reading 'Machine Learning in Action' and want working code per chapter", "you prefer algorithm code without heavy framework dependencies"]}, "data_as_of": "2026-08-30T08:39:29.467469+00:00", "members": [{"path": "/products/machine-learning-in-action", "repo": "TeFuirnever/Machine-Learning-in-Action", "role": "main", "score": 32}], "provenance": {"archived": {"kind": "observed", "observed_at": "2026-08-28T04:03:14.598202+00:00", "source": "github"}, "artifact_type": {"confidence": null, "enriched_at": "2026-08-30T07:11:09.953229+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "217db21ac17721425ee4034743d3a381034028f135b4fb5b80565e3db2c12ff4", "fetched_at": "2026-08-28T04:03:14.598202+00:00", "kind": "readme", "missing": false, "url": "https://github.com/TeFuirnever/Machine-Learning-in-Action"}, {"content_hash": "7c9a79aa997554401ea34bd32f0468ec58d2516226f7a6a0d49f4d0cbfdcf5ee", "fetched_at": "2026-08-29T13:10:02.775777+00:00", "kind": "homepage", "missing": false, "url": "https://blog.csdn.net/tefuirnever"}], "taxonomy_version": 1}, "description": {"kind": "observed", "observed_at": "2026-08-28T04:03:14.598202+00:00", "source": "github"}, "domain": {"confidence": null, "enriched_at": "2026-08-30T07:11:09.953229+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "217db21ac17721425ee4034743d3a381034028f135b4fb5b80565e3db2c12ff4", "fetched_at": "2026-08-28T04:03:14.598202+00:00", "kind": "readme", "missing": false, "url": "https://github.com/TeFuirnever/Machine-Learning-in-Action"}, {"content_hash": "7c9a79aa997554401ea34bd32f0468ec58d2516226f7a6a0d49f4d0cbfdcf5ee", "fetched_at": "2026-08-29T13:10:02.775777+00:00", "kind": "homepage", "missing": false, "url": "https://blog.csdn.net/tefuirnever"}], "taxonomy_version": 1}, "enriched": {"inputs": [], "kind": "computed", "method": "enrichment_status"}, "function": {"confidence": null, "enriched_at": "2026-08-30T07:11:09.953229+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "217db21ac17721425ee4034743d3a381034028f135b4fb5b80565e3db2c12ff4", "fetched_at": "2026-08-28T04:03:14.598202+00:00", "kind": "readme", "missing": false, "url": "https://github.com/TeFuirnever/Machine-Learning-in-Action"}, {"content_hash": "7c9a79aa997554401ea34bd32f0468ec58d2516226f7a6a0d49f4d0cbfdcf5ee", "fetched_at": "2026-08-29T13:10:02.775777+00:00", "kind": "homepage", "missing": false, "url": "https://blog.csdn.net/tefuirnever"}], "taxonomy_version": 1}, "health_score": {"inputs": ["days_since_push", "days_since_release", "archived"], "kind": "computed", "method": "health_v1"}, "homepage": {"kind": "observed", "observed_at": "2026-08-28T04:03:14.598202+00:00", "source": "github"}, "language": {"kind": "observed", "observed_at": "2026-08-28T04:03:14.598202+00:00", "source": "github"}, "license": {"kind": "observed", "observed_at": "2026-08-28T04:03:14.598202+00:00", "source": "github"}, "license_family": {"inputs": ["license"], "kind": "computed", "method": "license_family"}, "maturity": {"confidence": null, "enriched_at": "2026-08-30T07:11:09.953229+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "217db21ac17721425ee4034743d3a381034028f135b4fb5b80565e3db2c12ff4", "fetched_at": "2026-08-28T04:03:14.598202+00:00", "kind": "readme", "missing": false, "url": "https://github.com/TeFuirnever/Machine-Learning-in-Action"}, {"content_hash": "7c9a79aa997554401ea34bd32f0468ec58d2516226f7a6a0d49f4d0cbfdcf5ee", "fetched_at": "2026-08-29T13:10:02.775777+00:00", "kind": "homepage", "missing": false, "url": "https://blog.csdn.net/tefuirnever"}], "taxonomy_version": 1}, "member_repos": {"kind": "observed", "observed_at": "2026-08-28T04:03:14.598202+00:00", "source": "github"}, "name": {"kind": "observed", "observed_at": "2026-08-28T04:03:14.598202+00:00", "source": "github"}, "platform": {"confidence": null, "enriched_at": "2026-08-30T07:11:09.953229+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "217db21ac17721425ee4034743d3a381034028f135b4fb5b80565e3db2c12ff4", "fetched_at": "2026-08-28T04:03:14.598202+00:00", "kind": "readme", "missing": false, "url": "https://github.com/TeFuirnever/Machine-Learning-in-Action"}, {"content_hash": "7c9a79aa997554401ea34bd32f0468ec58d2516226f7a6a0d49f4d0cbfdcf5ee", "fetched_at": "2026-08-29T13:10:02.775777+00:00", "kind": "homepage", "missing": false, "url": "https://blog.csdn.net/tefuirnever"}], "taxonomy_version": 1}, "pushed_at": {"kind": "observed", "observed_at": "2026-08-28T04:03:14.598202+00:00", "source": "github"}, "repo": {"kind": "observed", "observed_at": "2026-08-28T04:03:14.598202+00:00", "source": "github"}, "stars": {"kind": "observed", "observed_at": "2026-08-28T04:03:14.598202+00:00", "source": "github"}, "tags": {"confidence": null, "enriched_at": "2026-08-30T07:11:09.953229+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "217db21ac17721425ee4034743d3a381034028f135b4fb5b80565e3db2c12ff4", "fetched_at": "2026-08-28T04:03:14.598202+00:00", "kind": "readme", "missing": false, "url": "https://github.com/TeFuirnever/Machine-Learning-in-Action"}, {"content_hash": "7c9a79aa997554401ea34bd32f0468ec58d2516226f7a6a0d49f4d0cbfdcf5ee", "fetched_at": "2026-08-29T13:10:02.775777+00:00", "kind": "homepage", "missing": false, "url": "https://blog.csdn.net/tefuirnever"}], "taxonomy_version": 1}, "topics": {"kind": "observed", "observed_at": "2026-08-28T04:03:14.598202+00:00", "source": "github"}, "urls": {"kind": "observed", "observed_at": "2026-08-28T04:03:14.598202+00:00", "source": "github"}, "use_cases": {"confidence": null, "enriched_at": "2026-08-30T07:11:09.953229+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "217db21ac17721425ee4034743d3a381034028f135b4fb5b80565e3db2c12ff4", "fetched_at": "2026-08-28T04:03:14.598202+00:00", "kind": "readme", "missing": false, "url": "https://github.com/TeFuirnever/Machine-Learning-in-Action"}, {"content_hash": "7c9a79aa997554401ea34bd32f0468ec58d2516226f7a6a0d49f4d0cbfdcf5ee", "fetched_at": "2026-08-29T13:10:02.775777+00:00", "kind": "homepage", "missing": false, "url": "https://blog.csdn.net/tefuirnever"}], "taxonomy_version": 1}, "what_it_is": {"confidence": null, "enriched_at": "2026-08-30T07:11:09.953229+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "217db21ac17721425ee4034743d3a381034028f135b4fb5b80565e3db2c12ff4", "fetched_at": "2026-08-28T04:03:14.598202+00:00", "kind": "readme", "missing": false, "url": "https://github.com/TeFuirnever/Machine-Learning-in-Action"}, {"content_hash": "7c9a79aa997554401ea34bd32f0468ec58d2516226f7a6a0d49f4d0cbfdcf5ee", "fetched_at": "2026-08-29T13:10:02.775777+00:00", "kind": "homepage", "missing": false, "url": "https://blog.csdn.net/tefuirnever"}], "taxonomy_version": 1}, "when_to_avoid": {"confidence": null, "enriched_at": "2026-08-30T07:11:09.953229+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "217db21ac17721425ee4034743d3a381034028f135b4fb5b80565e3db2c12ff4", "fetched_at": "2026-08-28T04:03:14.598202+00:00", "kind": "readme", "missing": false, "url": "https://github.com/TeFuirnever/Machine-Learning-in-Action"}, {"content_hash": "7c9a79aa997554401ea34bd32f0468ec58d2516226f7a6a0d49f4d0cbfdcf5ee", "fetched_at": "2026-08-29T13:10:02.775777+00:00", "kind": "homepage", "missing": false, "url": "https://blog.csdn.net/tefuirnever"}], "taxonomy_version": 1}, "when_to_choose": {"confidence": null, "enriched_at": "2026-08-30T07:11:09.953229+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "217db21ac17721425ee4034743d3a381034028f135b4fb5b80565e3db2c12ff4", "fetched_at": "2026-08-28T04:03:14.598202+00:00", "kind": "readme", "missing": false, "url": "https://github.com/TeFuirnever/Machine-Learning-in-Action"}, {"content_hash": "7c9a79aa997554401ea34bd32f0468ec58d2516226f7a6a0d49f4d0cbfdcf5ee", "fetched_at": "2026-08-29T13:10:02.775777+00:00", "kind": "homepage", "missing": false, "url": "https://blog.csdn.net/tefuirnever"}], "taxonomy_version": 1}}, "score": {"components": {"activity": 0, "longevity": 100, "rhythm": 35}, "computed_at": "2026-09-02T17:46:02.011165+00:00", "flags": ["no_releases", "no_license"], "formula": "round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)", "inputs": {"age_days": 2521, "days_push": 2401, "days_rel": null, "gap_med": null, "n_releases_24m": 0}, "score": 32, "version": 2}, "staleness": {"enrichment_outdated": false, "low_confidence": false, "scrape_days": 9, "stale_scrape": false}}