{"id":25789113,"url":"https://github.com/codehub001/case-study","last_synced_at":"2025-07-14T13:10:34.982Z","repository":{"id":278866769,"uuid":"937029760","full_name":"codehub001/Case-Study","owner":"codehub001","description":"This lab is dedicated to learning the Advanced Machine Learning methods for analysis of Retail based on historical sales data for 45 stores located in different regions - each store contains a number of departments.","archived":false,"fork":false,"pushed_at":"2025-02-22T07:42:32.000Z","size":960,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-06-21T10:06:23.255Z","etag":null,"topics":["jupyter-notebook"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/codehub001.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2025-02-22T06:51:16.000Z","updated_at":"2025-02-22T07:42:35.000Z","dependencies_parsed_at":"2025-02-22T07:30:32.147Z","dependency_job_id":"9c21df20-3e22-4b0e-8b78-ecaa7e800849","html_url":"https://github.com/codehub001/Case-Study","commit_stats":null,"previous_names":["codehub001/case-study"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/codehub001/Case-Study","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/codehub001%2FCase-Study","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/codehub001%2FCase-Study/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/codehub001%2FCase-Study/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/codehub001%2FCase-Study/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/codehub001","download_url":"https://codeload.github.com/codehub001/Case-Study/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/codehub001%2FCase-Study/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":265297048,"owners_count":23742585,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["jupyter-notebook"],"created_at":"2025-02-27T11:18:34.286Z","updated_at":"2025-07-14T13:10:34.938Z","avatar_url":"https://github.com/codehub001.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Case-Study\n# How to Study the Case File and Complete the Case Study\n1. Access the Case Study File\nGo to https://github.com/codehub001/Case-Study.\nLook for a .docx or .pdf file that contains the case study.\nDownload and open the file using a suitable program (Microsoft Word, Google Docs, or a PDF reader).\n2. Understand the Case Study Structure\nA case study generally has the following sections:\n\nTitle: Describes the topic of the study.\nIntroduction: Provides background information.\nProblem Statement: Defines the issue being addressed.\nAnalysis: Examines the data, context, and key findings.\nSolution/Approach: Details the proposed or implemented solutions.\nConclusion: Summarizes the findings and suggests recommendations.\n3. Read and Take Notes\nCarefully go through each section, highlighting key points.\nIdentify the problem and understand the context.\nNote down important facts, figures, and references.\n4. Research and Analyze\nIf required, gather additional information related to the case.\nCompare similar studies to see how the problem was solved.\nUse data analysis techniques if the case study includes numerical data.\n5. Structure Your Responses\nIf you're required to answer questions or complete an assignment based on the case study, ensure:\n\nYour answers are clear, concise, and well-structured.\nYou support your arguments with data or real-world examples.\nYour solution is practical and logically reasoned.\n6. Write the Final Report\nSummarize the problem, analysis, and solution.\nUse structured formatting with headings and subheadings.\nInclude visuals (graphs, tables) if needed.\nProofread for clarity and coherence.\n\n\n\n\nCase Study Template\n1. Title Page\nCase Study Title\nAuthor(s) Name\nDate of Submission\nAffiliation/Institution (if required)\n2. Executive Summary (Optional but recommended)\nBrief overview of the case study (2-3 sentences)\nMain problem statement\nKey findings and solution\nConclusion in a nutshell\n3. Introduction\nBackground of the study\nContext of the problem\nWhy this case study is important?\n4. Problem Statement\nWhat is the core issue or challenge?\nWho are the stakeholders affected?\nWhy does this problem need attention?\n5. Research \u0026 Analysis\nRelevant data, facts, and figures\nPrevious studies or background research\nChallenges faced in data collection (if any)\nComparison with similar cases\n6. Solution Approach\nPossible solutions considered\nChosen solution and justification\nImplementation strategy\nChallenges faced during implementation\n7. Results \u0026 Findings\nKey outcomes observed\nData-driven insights (graphs, charts, tables if applicable)\nComparison of expected vs. actual results\n8. Conclusion \u0026 Recommendations\nSummary of key takeaways\nFinal thoughts on the study\nFuture improvements and next steps\n9. References \u0026 Appendices\nList of sources (if applicable)\nAdditional tables, figures, raw data, or supporting information\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcodehub001%2Fcase-study","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fcodehub001%2Fcase-study","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcodehub001%2Fcase-study/lists"}