{"payload":{"header_redesign_enabled":false,"results":[{"id":"304160524","archived":false,"color":"#DA5B0B","followers":2,"has_funding_file":false,"hl_name":"whwbj/IBM-HR-employee-Attrition-Prediction-Study","hl_trunc_description":"This project focus on building different machine learning models to make predictions on employee attrition and performance","language":"Jupyter Notebook","mirror":false,"owned_by_organization":false,"public":true,"repo":{"repository":{"id":304160524,"name":"IBM-HR-employee-Attrition-Prediction-Study","owner_id":25964987,"owner_login":"whwbj","updated_at":"2020-10-15T23:30:54.126Z","has_issues":true}},"sponsorable":false,"topics":["data-science","machine-learning","correlation","deep-learning","pandas","python3","xgboost","data-analysis","confusion-matrix","onehot-encoding"],"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":57,"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%253Awhwbj%252FIBM-HR-employee-Attrition-Prediction-Study%2B%2Blanguage%253A%2522Jupyter%2BNotebook%2522","metadata":null,"csrf_tokens":{"/whwbj/IBM-HR-employee-Attrition-Prediction-Study/star":{"post":"sbptaBHY00M1GoZEPS5jIbSZfsS9S-3SGgK4ipE38EAtOHpTYgOR5CtIRhJb9YjfaLlGn-EXXzeqDvb896gZDw"},"/whwbj/IBM-HR-employee-Attrition-Prediction-Study/unstar":{"post":"drXvuGpANfRSIcSFC1pg_zimiDPqYn7ZDndmoHUsxZLQAtGK3uWNqEeVdbr9v7-1UvHkMhYX3yIa-RNmNm_F0A"},"/sponsors/batch_deferred_sponsor_buttons":{"post":"a22_Lpa9Djd2LD4Y0mZZdpEEJUhPaVeKJsCwjNnrGC618rXjNb1bTr9ePy7TIiTHS_ziQr3XL_zTnuPpeyM_FQ"}}},"title":"Repository search results"}