Frame ML Projects: Turn Business Needs into Real Solutions
Learn how to frame machine learning projects the right way—used by real data science and product teams to reduce rework
5.00 (1 reviews)
8
students
3 hours
content
Jul 2025
last update
$19.99
regular price
What you will learn
Distinguish vague business asks from real ML problems, and translate them into tasks like classification, ranking, or regression.
Define success in business terms, then align model KPIs like precision, recall, or F1 with actual usage, trust, and lifecycle goals.
Surface hidden risks, test assumptions early, and assess feasibility across data quality, infra readiness, and ethical constraints.
Use one-pagers, stakeholder maps, and alignment templates to frame ML projects clearly and earn buy-in without technical overload.
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6712201
udemy ID
09/07/2025
course created date
31/07/2025
course indexed date
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