{"payload":{"header_redesign_enabled":false,"results":[{"id":"138368003","archived":false,"color":"#DA5B0B","followers":2,"has_funding_file":false,"hl_name":"sagardoy/Customer-Segmentation-Using-PCA","hl_trunc_description":"In this project I apply unsupervised learning techniques and principal components analysis on product spending data collected for custome…","language":"Jupyter Notebook","mirror":false,"owned_by_organization":false,"public":true,"repo":{"repository":{"id":138368003,"name":"Customer-Segmentation-Using-PCA","owner_id":20792320,"owner_login":"sagardoy","updated_at":"2018-06-23T21:18:32.823Z","has_issues":true}},"sponsorable":false,"topics":["visualization","machine-learning","numpy","pandas","matplotlib","unsupervised-learning","python-2-7","principal-component-analysis","udacity-machine-learning-nanodegree","customer-segmentation"],"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":93,"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%253Asagardoy%252FCustomer-Segmentation-Using-PCA%2B%2Blanguage%253A%2522Jupyter%2BNotebook%2522","metadata":null,"warn_limited_results":false,"csrf_tokens":{"/sagardoy/Customer-Segmentation-Using-PCA/star":{"post":"B5ljnNirDn0opbhFkUMQxJ120kU0x7Yt3gvJb42Hx93PssJswvlsH1DKQdXrxjJh10VN280bAMxwGld3uqXxYQ"},"/sagardoy/Customer-Segmentation-Using-PCA/unstar":{"post":"lM7CBqTvUiWHmoyK35RjjFd735aqToVjyrMHcKNeRgIprj5n2MHAFPzMSOTSTWORzk3xM4KA4ZcK7ll2i_HZbA"},"/sponsors/batch_deferred_sponsor_buttons":{"post":"CTwn1JVsYOHfHoD63lv7DxV_LcWQByqV4nF6ZCKfo71hJ9Y9m5Q6JGK1luQQeBv4yRwJ73RKGwJo-xQA61qN6A"}}},"title":"Repository search results"}