{"payload":{"feedbackUrl":"https://github.com/orgs/community/discussions/53140","repo":{"id":739280012,"defaultBranch":"main","name":"Regression-Project","ownerLogin":"ShaikAyubAli","currentUserCanPush":false,"isFork":false,"isEmpty":false,"createdAt":"2024-01-05T07:27:39.000Z","ownerAvatar":"https://avatars.githubusercontent.com/u/143932473?v=4","public":true,"private":false,"isOrgOwned":false},"refInfo":{"name":"","listCacheKey":"v0:1704440166.0","currentOid":""},"activityList":{"items":[{"before":null,"after":"f5cd1963de86c78008da03556e356719e95293ef","ref":"refs/heads/main","pushedAt":"2024-01-05T07:36:06.000Z","pushType":"branch_creation","commitsCount":0,"pusher":{"login":"ShaikAyubAli","name":"Shaik Ayub Ali","path":"/ShaikAyubAli","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/143932473?s=80&v=4"},"commit":{"message":"Add files via upload\n\nDeveloped a machine learning pipeline to predict the probability of getting admission in various universities based on academic and test scores.\r\nPerformed data preprocessing, data cleaning, data wrangling, and data visualization on a dataset.\r\nApplied various regression algorithms such as linear regression, polynomial regression, ridge regression, lasso regression, Elastic Net to train and compare different models.\r\nAchieved a maximum accuracy of 98% using Lasso regression and optimized the hyperparameters using grid search and cross-validation.","shortMessageHtmlLink":"Add files via upload"}}],"hasNextPage":false,"hasPreviousPage":false,"activityType":"all","actor":null,"timePeriod":"all","sort":"DESC","perPage":30,"cursor":"djE6ks8AAAAD2FcgQgA","startCursor":null,"endCursor":null}},"title":"Activity · ShaikAyubAli/Regression-Project"}