{"payload":{"header_redesign_enabled":false,"results":[{"id":"378887040","archived":false,"color":"#DA5B0B","followers":0,"has_funding_file":false,"hl_name":"mz256/ashrae_energy_forecast","hl_trunc_description":"Time series forecasting for energy consumption, ASHRAE dataset on Kaggle. Data wrangling and FE (Pandas), regression (RF, LightGBM, DNN).","language":"Jupyter Notebook","mirror":false,"owned_by_organization":false,"public":true,"repo":{"repository":{"id":378887040,"name":"ashrae_energy_forecast","owner_id":82032354,"owner_login":"mz256","updated_at":"2021-09-30T10:48:48.938Z","has_issues":true}},"sponsorable":false,"topics":["machine-learning","deep-learning","kaggle-competition","energy-data","gradient-boosting","ashrae-energy-prediction","building-energy-forecasting","lightgbm-regressor"],"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":73,"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%253Amz256%252Fashrae_energy_forecast%2B%2Blanguage%253A%2522Jupyter%2BNotebook%2522","metadata":null,"warn_limited_results":false,"csrf_tokens":{"/mz256/ashrae_energy_forecast/star":{"post":"hWR7K4v_ujIP1q1Nq7ela_PHHdjK9-ktvkLH9_j2O1V7g-SRZIO2IJBfYWxv_UTqDUA13-NYkrJbClH1oXBIZg"},"/mz256/ashrae_energy_forecast/unstar":{"post":"26XLj8DncDXNwHFyjnXV1wN6yq_JuqrRiHw-C8EzPd3-F7_cIm080QPXh8nGlAgyOf-kgGYiHMFYzPOsjmyWtQ"},"/sponsors/batch_deferred_sponsor_buttons":{"post":"TlhbJXA2MpY2LcdG-RaWyd400vyF1gAS-S2NIoYBsvNdCzkNROl_yjm-9G1IHqKKfTrGtxCkewa5U6GS2pikoQ"}}},"title":"Repository search results"}