{"payload":{"feedbackUrl":"https://github.com/orgs/community/discussions/53140","repo":{"id":588806711,"defaultBranch":"main","name":"DataScience","ownerLogin":"bliboalbert","currentUserCanPush":false,"isFork":false,"isEmpty":false,"createdAt":"2023-01-14T04:14:02.000Z","ownerAvatar":"https://avatars.githubusercontent.com/u/53582197?v=4","public":true,"private":false,"isOrgOwned":false},"refInfo":{"name":"","listCacheKey":"v0:1679975029.496511","currentOid":""},"activityList":{"items":[{"before":"e0e895bdd14940838afb03dc3311ad36238b7e14","after":"e70c30582b0db329d7ac559d326764b90b675caf","ref":"refs/heads/main","pushedAt":"2023-03-28T03:43:49.405Z","pushType":"push","commitsCount":1,"pusher":{"login":"bliboalbert","name":"Blibo Albert  (TryStar )","path":"/bliboalbert","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/53582197?s=80&v=4"},"commit":{"message":"Add files via upload\n\n# A complete mini machine learning project\r\n\r\nThis project aims to apply all the standard methodologies of data science to a real-world business problem.\r\n\r\nThe business need tackled in this project is to help stakeholders of a construction and cement factory ascertain the \r\nquality and strength of their concrete mix for buildings and other use cases.\r\n\r\nAn attempt was made to develop a machine learning application that can predict the comprehensive strength of concrete as \r\nfunction of the cement, the age(in days) and other complex features used in preparing it.\r\n\r\nComprehensive Strength explains the capacity of the concrete to withstand loads before failure.\r\nComprehensive strength of cement concrete is an important property of the mixture that helps in its durability and \r\nsupport for use case, as the most important strength test.\r\n\r\nIt is a complex formula of relationship between age (number of days) and other factors, hence it gives an idea about the\r\ncharacteristics of the concrete.\r\nThe importance of comprehensive strength is that it ensures the overall quality of the finished product. \r\n\r\nThe propose methodology is first to defined the business need, and suggest the analytical appraoch to use in solving the \r\nproblem. 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This is beacause,\r\nprior to production they will have known what formula of their concrete mix works and which does not work, as compared to\r\ntheir benchmark even before they began their production.\r\nThis approach also aim to maximize profit as the revenue will continue to grow as losses are minimized.\r\n\r\nThis project is self-inspired and an attempt to understand the Keras library holistically.\r\n\r\nby Blibo Albert @bliboalbert <<-github/LinkedIn","shortMessageHtmlLink":"Add files via upload"}},{"before":"f86abcf1f1926be84e6ae5586aae2e71c2e45fc4","after":"e0e895bdd14940838afb03dc3311ad36238b7e14","ref":"refs/heads/main","pushedAt":"2023-03-23T00:46:10.000Z","pushType":"push","commitsCount":1,"pusher":{"login":"bliboalbert","name":"Blibo Albert  (TryStar )","path":"/bliboalbert","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/53582197?s=80&v=4"},"commit":{"message":"Add files via upload\n\nPredicting the comprehensive strength of concrete before main production to minimize cost of production.","shortMessageHtmlLink":"Add files via upload"}},{"before":"edb9b55d01a31f96c7a2f03ec3d2a020ae8dc8cd","after":"f86abcf1f1926be84e6ae5586aae2e71c2e45fc4","ref":"refs/heads/main","pushedAt":"2023-03-14T03:14:25.335Z","pushType":"push","commitsCount":1,"pusher":{"login":"bliboalbert","name":"Blibo Albert  (TryStar )","path":"/bliboalbert","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/53582197?s=80&v=4"},"commit":{"message":"Add files via upload\n\nKNN and SVM models to classify credit card transactions as fraudulent or legitimate.","shortMessageHtmlLink":"Add files via upload"}},{"before":"fda094920e35a60265569abd38982bc651eddf7d","after":"edb9b55d01a31f96c7a2f03ec3d2a020ae8dc8cd","ref":"refs/heads/main","pushedAt":"2023-03-14T03:12:37.902Z","pushType":"push","commitsCount":1,"pusher":{"login":"bliboalbert","name":"Blibo Albert  (TryStar )","path":"/bliboalbert","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/53582197?s=80&v=4"},"commit":{"message":"Delete classification_tree_svm.ipynb\n\nNote my project","shortMessageHtmlLink":"Delete classification_tree_svm.ipynb"}},{"before":"a4847dc0357d07891378756a25923be3a538488f","after":"fda094920e35a60265569abd38982bc651eddf7d","ref":"refs/heads/main","pushedAt":"2023-03-14T03:10:56.654Z","pushType":"push","commitsCount":1,"pusher":{"login":"bliboalbert","name":"Blibo Albert  (TryStar )","path":"/bliboalbert","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/53582197?s=80&v=4"},"commit":{"message":"Add files via upload\n\nScikit Learn library and keras library was used to train models to predict the comprehensive strength of concrete.\r\nDataset was downloaded from UCI\r\n# Multivariate Linear Regression\r\n# Keras Regression","shortMessageHtmlLink":"Add files via upload"}},{"before":"d459b8cf4cdd68269b02ac360f78be7ce27f9ad7","after":"a4847dc0357d07891378756a25923be3a538488f","ref":"refs/heads/main","pushedAt":"2023-03-14T02:53:45.456Z","pushType":"push","commitsCount":1,"pusher":{"login":"bliboalbert","name":"Blibo Albert  (TryStar )","path":"/bliboalbert","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/53582197?s=80&v=4"},"commit":{"message":"Add files via upload\n\nProject 2\r\nClassification Model with SVM and KNN.","shortMessageHtmlLink":"Add files via upload"}},{"before":"2f674e9ac0899ff02526461fea0a4b25effe3fe4","after":"d459b8cf4cdd68269b02ac360f78be7ce27f9ad7","ref":"refs/heads/main","pushedAt":"2023-03-12T02:46:10.164Z","pushType":"push","commitsCount":1,"pusher":{"login":"bliboalbert","name":"Blibo Albert  (TryStar )","path":"/bliboalbert","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/53582197?s=80&v=4"},"commit":{"message":"Add files via upload\n\nTrack Record projects; Training and Evaluating ML Classification Algorithms using datasets from sklearn.","shortMessageHtmlLink":"Add files via upload"}}],"hasNextPage":false,"hasPreviousPage":false,"activityType":"all","actor":null,"timePeriod":"all","sort":"DESC","perPage":30,"cursor":"djE6ks8AAAADDJAa1wA","startCursor":null,"endCursor":null}},"title":"Activity · bliboalbert/DataScience"}