{"payload":{"header_redesign_enabled":false,"results":[{"id":"693953951","archived":false,"color":"#DA5B0B","followers":0,"has_funding_file":false,"hl_name":"atharvapathak/Telecom_Churn_Case_Study","hl_trunc_description":"Build a classification model for reducing the churn rate for a telecom company","language":"Jupyter Notebook","mirror":false,"owned_by_organization":false,"public":true,"repo":{"repository":{"id":693953951,"name":"Telecom_Churn_Case_Study","owner_id":25252171,"owner_login":"atharvapathak","updated_at":"2024-04-10T09:35:49.084Z","has_issues":true}},"sponsorable":false,"topics":["python","random-forest","exploratory-data-analysis","feature-extraction","pca","classification","logistic-regression","decision-trees","class-imbalance","svm-classifier","telecom-churn-prediction","telecom-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":91,"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%253Aatharvapathak%252FTelecom_Churn_Case_Study%2B%2Blanguage%253A%2522Jupyter%2BNotebook%2522","metadata":null,"warn_limited_results":false,"csrf_tokens":{"/atharvapathak/Telecom_Churn_Case_Study/star":{"post":"4fxlzTnXbeXnkt039-wD7NJhovOtz6UTI4NU9yoNmascteYJU9Tez12fA970Irc6-ZvwHGE4mSnfPJjzHai4gA"},"/atharvapathak/Telecom_Churn_Case_Study/unstar":{"post":"6ZqPyfQX9MI38rtDFo-PudzImga-or0kaaaKyRu3NZ1V40Mtv7DAmzMIBd9IWgZ3C_BJdef9lG9HHsnNzCG56Q"},"/sponsors/batch_deferred_sponsor_buttons":{"post":"o7_kvfVNf14pMSbmtFt_s53Pc0qUEtPR_kmUZBKUX2wEiOuWkB4VIizuV-lWQlk9Bl4_LwYh-TD49Ik2ZjBYhw"}}},"title":"Repository search results"}