{"action":"opened","issue":{"url":"https://api.github.com/repos/minhhuu291/Minh-prewok/issues/1","repository_url":"https://api.github.com/repos/minhhuu291/Minh-prewok","labels_url":"https://api.github.com/repos/minhhuu291/Minh-prewok/issues/1/labels{/name}","comments_url":"https://api.github.com/repos/minhhuu291/Minh-prewok/issues/1/comments","events_url":"https://api.github.com/repos/minhhuu291/Minh-prewok/issues/1/events","html_url":"https://github.com/minhhuu291/Minh-prewok/issues/1","id":324515223,"number":1,"title":"Thanks!","user":{"login":"coderschoolreview","id":15702670,"avatar_url":"https://avatars3.githubusercontent.com/u/15702670?v=4","gravatar_id":"","url":"https://api.github.com/users/coderschoolreview","html_url":"https://github.com/coderschoolreview","followers_url":"https://api.github.com/users/coderschoolreview/followers","following_url":"https://api.github.com/users/coderschoolreview/following{/other_user}","gists_url":"https://api.github.com/users/coderschoolreview/gists{/gist_id}","starred_url":"https://api.github.com/users/coderschoolreview/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/coderschoolreview/subscriptions","organizations_url":"https://api.github.com/users/coderschoolreview/orgs","repos_url":"https://api.github.com/users/coderschoolreview/repos","events_url":"https://api.github.com/users/coderschoolreview/events{/privacy}","received_events_url":"https://api.github.com/users/coderschoolreview/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":0,"created_at":"2018-05-18T18:48:55Z","updated_at":"2018-05-18T18:48:55Z","closed_at":null,"author_association":"NONE","body":"The goal of this assignment was to introduce you to 2 main concepts in Machine Learning: Data Pre-processing, and Classification. You learned how to query and clean data using the pandas library in Python, and built a simple Machine Learning Classifier based on the K Nearest Neighbors algorithm.\r\n\r\nIt looks like you have a few things missing. First, you may not understand how to use GitHub and git just yet. But beyond that, it seems that you should check a few things.\r\n\r\n* Your `consolidate` function is buggy. You can see that Party Rock Anthem has no genre after running your method. \r\n\r\n`songs_dataset.loc[:, 'genres'] = songs_dataset['genres'].apply(\"\".join)`\r\n\r\nCan you double check this line? \r\n\r\n* Good job going through and applying the knn method as best you can. I'm a little unsure on how you arrived at the final scores you print in the last step. Where did those scores come from?"}}
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