https://github.com/codehub001/case-study
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.
https://github.com/codehub001/case-study
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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.
- Host: GitHub
- URL: https://github.com/codehub001/case-study
- Owner: codehub001
- Created: 2025-02-22T06:51:16.000Z (10 months ago)
- Default Branch: main
- Last Pushed: 2025-02-22T07:42:32.000Z (10 months ago)
- Last Synced: 2025-06-21T10:06:23.255Z (6 months ago)
- Topics: jupyter-notebook
- Language: Jupyter Notebook
- Homepage:
- Size: 938 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Case-Study
# How to Study the Case File and Complete the Case Study
1. Access the Case Study File
Go to https://github.com/codehub001/Case-Study.
Look for a .docx or .pdf file that contains the case study.
Download and open the file using a suitable program (Microsoft Word, Google Docs, or a PDF reader).
2. Understand the Case Study Structure
A case study generally has the following sections:
Title: Describes the topic of the study.
Introduction: Provides background information.
Problem Statement: Defines the issue being addressed.
Analysis: Examines the data, context, and key findings.
Solution/Approach: Details the proposed or implemented solutions.
Conclusion: Summarizes the findings and suggests recommendations.
3. Read and Take Notes
Carefully go through each section, highlighting key points.
Identify the problem and understand the context.
Note down important facts, figures, and references.
4. Research and Analyze
If required, gather additional information related to the case.
Compare similar studies to see how the problem was solved.
Use data analysis techniques if the case study includes numerical data.
5. Structure Your Responses
If you're required to answer questions or complete an assignment based on the case study, ensure:
Your answers are clear, concise, and well-structured.
You support your arguments with data or real-world examples.
Your solution is practical and logically reasoned.
6. Write the Final Report
Summarize the problem, analysis, and solution.
Use structured formatting with headings and subheadings.
Include visuals (graphs, tables) if needed.
Proofread for clarity and coherence.
Case Study Template
1. Title Page
Case Study Title
Author(s) Name
Date of Submission
Affiliation/Institution (if required)
2. Executive Summary (Optional but recommended)
Brief overview of the case study (2-3 sentences)
Main problem statement
Key findings and solution
Conclusion in a nutshell
3. Introduction
Background of the study
Context of the problem
Why this case study is important?
4. Problem Statement
What is the core issue or challenge?
Who are the stakeholders affected?
Why does this problem need attention?
5. Research & Analysis
Relevant data, facts, and figures
Previous studies or background research
Challenges faced in data collection (if any)
Comparison with similar cases
6. Solution Approach
Possible solutions considered
Chosen solution and justification
Implementation strategy
Challenges faced during implementation
7. Results & Findings
Key outcomes observed
Data-driven insights (graphs, charts, tables if applicable)
Comparison of expected vs. actual results
8. Conclusion & Recommendations
Summary of key takeaways
Final thoughts on the study
Future improvements and next steps
9. References & Appendices
List of sources (if applicable)
Additional tables, figures, raw data, or supporting information