{"data":{"full_name":"Hanc1999/Basic-Machine-Learning-Models","name":"Basic-Machine-Learning-Models","description":"A collection for basic machine learning and data mining model implementations, in Python, mainly referencing the books: *Machine Learning: A Probabilistic Perspective* and *Data Mining Concepts and Techniques*. Most codes are implemented in a plain way, without using high-level API or modules. The demo of results is also generally available. Suitable for example and self-learning. Have fun! ","stars":13.0,"forks":0.0,"language":"Jupyter Notebook","license":null,"archived":0.0,"subcategory":"ml-algorithm-implementations","last_pushed_at":"2021-07-15T17:30:55+00:00","pypi_package":null,"npm_package":null,"downloads_monthly":0.0,"dependency_count":0.0,"commits_30d":null,"reverse_dep_count":0.0,"maintenance_score":0.0,"adoption_score":5.0,"maturity_score":8.0,"community_score":0.0,"quality_score":13.0,"quality_tier":"experimental","risk_flags":"['no_license', 'stale_6m', 'no_package', 'no_dependents']"},"meta":{"timestamp":"2026-04-08T10:13:50.985684+00:00"}}