{"payload":{"header_redesign_enabled":false,"results":[{"id":"631188644","archived":false,"color":"#DA5B0B","followers":0,"has_funding_file":false,"hl_name":"Mahesh3394/Understanding-of-Hyperparameter-Tuning","hl_trunc_description":"Hyperparameter tuning is the process of finding the optimal hyperparameters for a machine learning model. Hyperparameters are values that…","language":"Jupyter Notebook","mirror":false,"owned_by_organization":false,"public":true,"repo":{"repository":{"id":631188644,"name":"Understanding-of-Hyperparameter-Tuning","owner_id":107546836,"owner_login":"Mahesh3394","updated_at":"2023-04-22T08:09:19.798Z","has_issues":true}},"sponsorable":false,"topics":["machine-learning","data-science","deep-learning","sklearn","gridsearchcv","randomizedsearchcv"],"type":"Public","help_wanted_issues_count":0,"good_first_issue_issues_count":0,"starred_by_current_user":false}],"type":"repositories","page":1,"page_count":1,"elapsed_millis":65,"errors":[],"result_count":1,"facets":[],"protected_org_logins":[],"topics":null,"query_id":"","logged_in":false,"sign_up_path":"/signup?source=code_search_results","sign_in_path":"/login?return_to=https%3A%2F%2Fgithub.com%2Fsearch%3Fq%3Drepo%253AMahesh3394%252FUnderstanding-of-Hyperparameter-Tuning%2B%2Blanguage%253A%2522Jupyter%2BNotebook%2522","metadata":null,"csrf_tokens":{"/Mahesh3394/Understanding-of-Hyperparameter-Tuning/star":{"post":"b_iiX4_rQVRrd-lcXEoP6KtWQW-vrOQ8m3e2vZmSKZgH5yhUWpB4w5-laE_msxJmsZlmHTbVw8HXWwRgnG7OGg"},"/Mahesh3394/Understanding-of-Hyperparameter-Tuning/unstar":{"post":"DBwbsAhNEEJO3-lSsZejcbbc63pWpKjB6MULriUqZv5B4P7fAkST1IjfIkEDJrHFCGhz8byJ7I5ZdtDLC-a4tA"},"/sponsors/batch_deferred_sponsor_buttons":{"post":"skZoF-ZVtyh8lS1B9diaideyVj_K46HScKDA6TXZ_I1iJR6LbZhssaq8TfUbLtIZdqeevwtTJSGFi1-mPT4idA"}}},"title":"Repository search results"}