{"payload":{"header_redesign_enabled":false,"results":[{"id":"280629663","archived":false,"color":"#DA5B0B","followers":3,"has_funding_file":false,"hl_name":"lestercardoz11/customer-analysis","hl_trunc_description":"Develop ML model, i.e. K-means, to target the right customers in a mall","language":"Jupyter Notebook","mirror":false,"owned_by_organization":false,"public":true,"repo":{"repository":{"id":280629663,"name":"customer-analysis","owner_id":22659390,"owner_login":"lestercardoz11","updated_at":"2020-07-18T13:12:10.780Z","has_issues":true}},"sponsorable":false,"topics":["python","machine-learning","jupyter-notebook","kmeans-clustering"],"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":60,"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%253Alestercardoz11%252Fcustomer-analysis%2B%2Blanguage%253A%2522Jupyter%2BNotebook%2522","metadata":null,"csrf_tokens":{"/lestercardoz11/customer-analysis/star":{"post":"AZZF8Sjcf8k9J2ck3tK7zJq0Au13_qTjJGKC9o0YDwUudVx9SHZZbtYEFZLhPS3hrMmoUHgMfuQbZfigAT_oNQ"},"/lestercardoz11/customer-analysis/unstar":{"post":"v3LNM7iGWpV6OKYHNZSqvevbiiofGBt7QUclQSzB1o00ar0Ga45502UggtEk71WC-jxVbPY4PxwMhmcVJIAe9Q"},"/sponsors/batch_deferred_sponsor_buttons":{"post":"ZLwAEu5rtVkG-u49xDW3kEynrMwOnfkBBzPXf-sn_K7x-RJ1iwrJ9h5hOWLHNgqx4xpGSG2H_UUYJCdlfEFjIg"}}},"title":"Repository search results"}