{"payload":{"header_redesign_enabled":false,"results":[{"id":"704834651","archived":false,"color":"#DA5B0B","followers":0,"has_funding_file":false,"hl_name":"AkashHiremath856/IBM_Telco_customer_churn","hl_trunc_description":"Performing ETA and Data Analysis on Telco customer churn (11.1.3+) sample dataset and making prediction. Used Flask to build a basic HTML…","language":"Jupyter Notebook","mirror":false,"owned_by_organization":false,"public":true,"repo":{"repository":{"id":704834651,"name":"IBM_Telco_customer_churn","owner_id":60737679,"owner_login":"AkashHiremath856","updated_at":"2023-10-14T14:21:00.815Z","has_issues":true}},"sponsorable":false,"topics":["machine-learning","database","data-visualization","flask-application","data-analysis","churn-prediction","churn-analysis"],"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":85,"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%253AAkashHiremath856%252FIBM_Telco_customer_churn%2B%2Blanguage%253A%2522Jupyter%2BNotebook%2522","metadata":null,"warn_limited_results":false,"csrf_tokens":{"/AkashHiremath856/IBM_Telco_customer_churn/star":{"post":"STXHB5ir-rppdlArJcnFIDYz2vn8es281O__I6ngpJs79FRUipCeRpZhXvLBj7bI51LV_2RgeawLi2NyBXyWyg"},"/AkashHiremath856/IBM_Telco_customer_churn/unstar":{"post":"iB7rw2yscep1d-UI50AVO_3vCa7SPWwRD8bMY_t3FVBRy__O1Pv-xqzpxeTeALfnBUmXvi83Cr7y5UOXwUUTUQ"},"/sponsors/batch_deferred_sponsor_buttons":{"post":"Zlggc-J8le9uYupH-7YdkbKbkqIrjTwgpdmWSWI-7AUwaHqV3G-_uMkO_d78GQQbqMEz6zUKywGhmVh-JJzmow"}}},"title":"Repository search results"}