{"payload":{"header_redesign_enabled":false,"results":[{"id":"735959098","archived":false,"color":"#DA5B0B","followers":0,"has_funding_file":false,"hl_name":"Ddeepanshu-997/DataScience_marketing_campaign","hl_trunc_description":"In this repository i am going to perform data preprocessing techniques and try to findout some useful insights using the various datascie…","language":"Jupyter Notebook","mirror":false,"owned_by_organization":false,"public":true,"repo":{"repository":{"id":735959098,"name":"DataScience_marketing_campaign","owner_id":114663319,"owner_login":"Ddeepanshu-997","updated_at":"2023-12-28T15:38:16.492Z","has_issues":true}},"sponsorable":false,"topics":["visualization","data-science","libraries","pandas-dataframe","insights","data-visualization","output","matplotlib","techniques","visualization-library","numpy-arrays","datacleaning","data-visualization-project","data-insights","prepr"],"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":74,"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%253ADdeepanshu-997%252FDataScience_marketing_campaign%2B%2Blanguage%253A%2522Jupyter%2BNotebook%2522","metadata":null,"csrf_tokens":{"/Ddeepanshu-997/DataScience_marketing_campaign/star":{"post":"b-s2YfAd-QVgru3xh55Q0GjYXn8NJoGtj5dw8PrSyGSgTzBLuP_5oPfyrEyIr9QiOhrF18inwnMn6qAE7GM73A"},"/Ddeepanshu-997/DataScience_marketing_campaign/unstar":{"post":"CbtRAZH9T0SeHDbakR3SxydW7X4yEcF7UIpZ9VAZlT_2QVmJljI1hNkoa8MojPFCpTnGvDywTQNuK7kr73L7zw"},"/sponsors/batch_deferred_sponsor_buttons":{"post":"JF5k1CQ5ji-nOW6sVxFoV4L8KUwWeBX3_Fzg2n7CEK4d-eGyCKB1knjCqMCJPfAeiEvYrNTkr0bB1kVmH7JvPw"}}},"title":"Repository search results"}