{"payload":{"feedbackUrl":"https://github.com/orgs/community/discussions/53140","repo":{"id":744586211,"defaultBranch":"main","name":"Car-or-Truck---Unsupervised-binary-classification","ownerLogin":"VasilescuAndreea","currentUserCanPush":false,"isFork":false,"isEmpty":false,"createdAt":"2024-01-17T15:50:04.000Z","ownerAvatar":"https://avatars.githubusercontent.com/u/62394241?v=4","public":true,"private":false,"isOrgOwned":false},"refInfo":{"name":"","listCacheKey":"v0:1705506695.0","currentOid":""},"activityList":{"items":[{"before":"8f6cff020ce6ef28dea705c909e74cef115e48cf","after":"1484cfbe61a9e134608492911b037aae343df2ab","ref":"refs/heads/main","pushedAt":"2024-01-17T15:52:42.000Z","pushType":"push","commitsCount":1,"pusher":{"login":"VasilescuAndreea","name":"Andreea Vasilescu","path":"/VasilescuAndreea","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/62394241?s=80&v=4"},"commit":{"message":"Create README.md","shortMessageHtmlLink":"Create README.md"}},{"before":null,"after":"8f6cff020ce6ef28dea705c909e74cef115e48cf","ref":"refs/heads/main","pushedAt":"2024-01-17T15:51:35.000Z","pushType":"branch_creation","commitsCount":0,"pusher":{"login":"VasilescuAndreea","name":"Andreea Vasilescu","path":"/VasilescuAndreea","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/62394241?s=80&v=4"},"commit":{"message":"Add files via upload\n\nOverview\r\nThis GitHub repository contains the code and documentation for a project applying unsupervised learning techniques, particularly clustering, on a Kaggle dataset containing images of cars and trucks. The primary goal is to explore and implement clustering algorithms to group similar images without using labeled examples. This project serves as the author's first venture into unsupervised learning, with a focus on clustering as an introductory task.\r\n\r\nKeywords\r\nClustering\r\nUnsupervised Learning\r\nAI\r\nComputer Vision\r\nTable of Contents\r\nIntroduction\r\n\r\nBrief overview of unsupervised learning and its applications.\r\nRelated studies highlighting the importance of clustering in various domains.\r\nState of the Art\r\n\r\nOverview of current advancements in machine learning, with a focus on agglomerative clustering.\r\nDetailed explanation of agglomerative clustering, including key aspects and considerations.\r\nIntroduction to Random Forests and Isolation Forests, discussing their applications in regression, classification, and anomaly detection.\r\nExperiment\r\n\r\nMotivation for the theme, choice of programming language, and libraries used.\r\nDetailed information on the dataset, data preprocessing steps, and initial data analysis.\r\nImplementation details for agglomerative clustering and isolation forests.\r\nVisualization of the clustering results and anomaly detection.\r\nConclusions\r\n\r\nSummary of findings.\r\nChallenges encountered during the experiment.\r\nFuture Work\r\n\r\nProposed ideas for future experiments and improvements.\r\nReferences\r\n\r\nCitations for relevant studies and tools used in the project.","shortMessageHtmlLink":"Add files via upload"}}],"hasNextPage":false,"hasPreviousPage":false,"activityType":"all","actor":null,"timePeriod":"all","sort":"DESC","perPage":30,"cursor":"djE6ks8AAAAD4i58cAA","startCursor":null,"endCursor":null}},"title":"Activity · VasilescuAndreea/Car-or-Truck---Unsupervised-binary-classification"}