1
Project Proposal
Defining problem statements and project scope.
Learning Outcomes:
• Create a project roadmap
• Identify necessary data sources
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2
Feasibility Study
Evaluating technical constraints and data availability.
Learning Outcomes:
• Conduct a SWOT analysis
• Validate dataset quality
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3
Data Acquisition
Web scraping and API data collection strategies.
Learning Outcomes:
• Build a basic web scraper using BeautifulSoup
• Handle authentication for enterprise APIs
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4
Baseline Modeling
Establishing a simple model to measure future success.
Learning Outcomes:
• Select appropriate baseline metrics (MAE/Accuracy)
• Document initial findings