{"data":{"full_name":"Develop-Packt/Introduction-to-Classification","name":"Introduction-to-Classification","description":"This module introduces classification — you will be implementing the various techniques such as k-nearest neighbors and Support Vector Machines. You will be using the Euclidean distance to work with the k-nearest neighbors.","stars":0.0,"forks":1.0,"language":"Jupyter Notebook","license":"MIT","archived":0.0,"subcategory":"k-nearest-neighbors","last_pushed_at":"2022-12-26T21:33:29+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":0.0,"maturity_score":9.0,"community_score":2.0,"quality_score":11.0,"quality_tier":"experimental","risk_flags":"['stale_6m', 'no_package', 'no_dependents']"},"meta":{"timestamp":"2026-04-09T11:59:56.403174+00:00"}}