Overview
What this challenge is about.
Build a sentiment model from 10,000 cosmetics reviews using NLP. Hit 80% accuracy and get your verifiable certificate.
CredentialBlockchain-anchored
ShareableLinkedIn-ready
LanguageEnglish
PaceSelf-paced
The Brief
What you'll do, and what you'll demonstrate.
How can GlowUp Naturals automatically extract sentiment from customer reviews to identify strengths and weaknesses of their new lipstick line?
Earning criteria — what you'll demonstrate
- Apply text preprocessing techniques (tokenization, stopword removal, stemming/lemmatization)
- Implement and compare different feature extraction methods (BoW, TF-IDF)
- Train and evaluate a supervised classification model (e.g., Logistic Regression, Naive Bayes)
- Interpret model results to derive actionable business insights
Program Fit
Where this fits in your program.
Sharpens the same skills your degree expects you to demonstrate.
Aligned coursework coming soon.
Skills
Skills you'll demonstrate.
Each one shows up on your verified credential.
Careers
Roles this prepares you for.
Real titles. Real skill bridges. Pick the one closest to your trajectory.