{"adoption": {"forks": 204, "observed_at": "2026-08-28T04:04:24.469353+00:00", "stars": 1332}, "canonical_url": "https://ross.abutalabs.com/products/devamoghs-machine-learning-with-python", "card": {"archived": false, "artifact_type": "learning-resource", "description": "Small scale machine learning projects to understand the core concepts . Give a Star 🌟If it helps you. BONUS: Interview Bank coming up..!", "domain": ["machine-learning", "data-science", "tutorials", "education"], "enriched": true, "function": ["machine-learning", "data-science", "nlp", "deep-learning"], "health_score": 66, "homepage": null, "language": "Python", "license": "MIT", "license_family": "permissive", "maturity": "maintenance", "member_repos": ["devAmoghS/Machine-Learning-with-Python"], "name": "devAmoghS/Machine-Learning-with-Python", "platform": ["python"], "pushed_at": "2026-04-14T23:31:42+00:00", "repo": "devAmoghS/Machine-Learning-with-Python", "stars": 1332, "tags": ["beginner-friendly", "scikit-learn", "keras", "practice-projects", "exercises", "interview-prep"], "topics": ["machine-learning", "python", "exercises", "practice-project", "beginner-friendly", "scikit-learn", "deep-learning", "python-3", "data-science"], "urls": [], "use_cases": ["learn machine learning fundamentals through hands-on python projects", "practice implementing algorithms like random forest and k-means from scratch", "find beginner machine learning project examples with scikit-learn", "understand linear and logistic regression with simple datasets", "study neural network examples using keras on mnist", "prepare for machine learning interviews with practice exercises", "learn statistics concepts like a/b testing and bayesian inference in python"], "what_it_is": "A collection of small-scale machine learning projects in Python designed to teach core ML concepts, covering regression, classification, clustering, neural networks, topic modeling, and statistics. It is a beginner-friendly educational repository built with Scikit-Learn, Keras, and Python 3.", "when_to_avoid": ["you need production-ready, well-maintained ML libraries or pipelines", "you require up-to-date code compatible with the latest Python and library versions", "you want large-scale or deep-learning-focused projects beyond toy examples"], "when_to_choose": ["you are a beginner wanting small, readable projects to learn ML concepts", "you want to see algorithms implemented from scratch in Python", "you need practice exercises covering classic ML topics like regression, clustering, and NLP"]}, "data_as_of": "2026-08-30T08:39:29.467469+00:00", "members": [{"path": "/products/devamoghs-machine-learning-with-python", "repo": "devAmoghS/Machine-Learning-with-Python", "role": "main", "score": 67}], "provenance": {"archived": {"kind": "observed", "observed_at": "2026-08-28T04:04:24.469353+00:00", "source": "github"}, "artifact_type": {"confidence": null, "enriched_at": "2026-08-30T04:45:11.221969+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "78081fd1c9417734757e93640997a19f505f508de3bce7a6c9a4b67d99e38378", "fetched_at": "2026-08-28T04:04:24.469353+00:00", "kind": "readme", "missing": false, "url": "https://github.com/devAmoghS/Machine-Learning-with-Python"}], "taxonomy_version": 1}, "description": {"kind": "observed", "observed_at": "2026-08-28T04:04:24.469353+00:00", "source": "github"}, "domain": {"confidence": null, "enriched_at": "2026-08-30T04:45:11.221969+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "78081fd1c9417734757e93640997a19f505f508de3bce7a6c9a4b67d99e38378", "fetched_at": "2026-08-28T04:04:24.469353+00:00", "kind": "readme", "missing": false, "url": "https://github.com/devAmoghS/Machine-Learning-with-Python"}], "taxonomy_version": 1}, "enriched": {"inputs": [], "kind": "computed", "method": "enrichment_status"}, "function": {"confidence": null, "enriched_at": "2026-08-30T04:45:11.221969+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "78081fd1c9417734757e93640997a19f505f508de3bce7a6c9a4b67d99e38378", "fetched_at": "2026-08-28T04:04:24.469353+00:00", "kind": "readme", "missing": false, "url": "https://github.com/devAmoghS/Machine-Learning-with-Python"}], "taxonomy_version": 1}, "health_score": {"inputs": ["days_since_push", "days_since_release", "archived"], "kind": "computed", "method": "health_v1"}, "homepage": {"kind": "observed", "observed_at": "2026-08-28T04:04:24.469353+00:00", "source": "github"}, "language": {"kind": "observed", "observed_at": "2026-08-28T04:04:24.469353+00:00", "source": "github"}, "license": {"kind": "observed", "observed_at": "2026-08-28T04:04:24.469353+00:00", "source": "github"}, "license_family": {"inputs": ["license"], "kind": "computed", "method": "license_family"}, "maturity": {"confidence": null, "enriched_at": "2026-08-30T04:45:11.221969+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "78081fd1c9417734757e93640997a19f505f508de3bce7a6c9a4b67d99e38378", "fetched_at": "2026-08-28T04:04:24.469353+00:00", "kind": "readme", "missing": false, "url": "https://github.com/devAmoghS/Machine-Learning-with-Python"}], "taxonomy_version": 1}, "member_repos": {"kind": "observed", "observed_at": "2026-08-28T04:04:24.469353+00:00", "source": "github"}, "name": {"kind": "observed", "observed_at": "2026-08-28T04:04:24.469353+00:00", "source": "github"}, "platform": {"confidence": null, "enriched_at": "2026-08-30T04:45:11.221969+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "78081fd1c9417734757e93640997a19f505f508de3bce7a6c9a4b67d99e38378", "fetched_at": "2026-08-28T04:04:24.469353+00:00", "kind": "readme", "missing": false, "url": "https://github.com/devAmoghS/Machine-Learning-with-Python"}], "taxonomy_version": 1}, "pushed_at": {"kind": "observed", "observed_at": "2026-08-28T04:04:24.469353+00:00", "source": "github"}, "repo": {"kind": "observed", "observed_at": "2026-08-28T04:04:24.469353+00:00", "source": "github"}, "stars": {"kind": "observed", "observed_at": "2026-08-28T04:04:24.469353+00:00", "source": "github"}, "tags": {"confidence": null, "enriched_at": "2026-08-30T04:45:11.221969+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "78081fd1c9417734757e93640997a19f505f508de3bce7a6c9a4b67d99e38378", "fetched_at": "2026-08-28T04:04:24.469353+00:00", "kind": "readme", "missing": false, "url": "https://github.com/devAmoghS/Machine-Learning-with-Python"}], "taxonomy_version": 1}, "topics": {"kind": "observed", "observed_at": "2026-08-28T04:04:24.469353+00:00", "source": "github"}, "urls": {"kind": "observed", "observed_at": "2026-08-28T04:04:24.469353+00:00", "source": "github"}, "use_cases": {"confidence": null, "enriched_at": "2026-08-30T04:45:11.221969+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "78081fd1c9417734757e93640997a19f505f508de3bce7a6c9a4b67d99e38378", "fetched_at": "2026-08-28T04:04:24.469353+00:00", "kind": "readme", "missing": false, "url": "https://github.com/devAmoghS/Machine-Learning-with-Python"}], "taxonomy_version": 1}, "what_it_is": {"confidence": null, "enriched_at": "2026-08-30T04:45:11.221969+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "78081fd1c9417734757e93640997a19f505f508de3bce7a6c9a4b67d99e38378", "fetched_at": "2026-08-28T04:04:24.469353+00:00", "kind": "readme", "missing": false, "url": "https://github.com/devAmoghS/Machine-Learning-with-Python"}], "taxonomy_version": 1}, "when_to_avoid": {"confidence": null, "enriched_at": "2026-08-30T04:45:11.221969+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "78081fd1c9417734757e93640997a19f505f508de3bce7a6c9a4b67d99e38378", "fetched_at": "2026-08-28T04:04:24.469353+00:00", "kind": "readme", "missing": false, "url": "https://github.com/devAmoghS/Machine-Learning-with-Python"}], "taxonomy_version": 1}, "when_to_choose": {"confidence": null, "enriched_at": "2026-08-30T04:45:11.221969+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "78081fd1c9417734757e93640997a19f505f508de3bce7a6c9a4b67d99e38378", "fetched_at": "2026-08-28T04:04:24.469353+00:00", "kind": "readme", "missing": false, "url": "https://github.com/devAmoghS/Machine-Learning-with-Python"}], "taxonomy_version": 1}}, "score": {"components": {"activity": 77, "longevity": 100, "rhythm": 35}, "computed_at": "2026-09-03T02:20:16.233290+00:00", "flags": ["no_releases"], "formula": "round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)", "inputs": {"age_days": 3106, "days_push": 141, "days_rel": null, "gap_med": null, "n_releases_24m": 0}, "score": 67, "version": 2}, "staleness": {"enrichment_outdated": false, "low_confidence": false, "scrape_days": 9, "stale_scrape": false}}