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APPLIED LEARNING / 08

Machine learning

Exploring how data can inform better recommendations and decisions.

SCOPE AT MACHINE LEARNING

01Product recommendations
02Lead conversion classification

The programme

Applied projects completed through Great Learning’s MIT IDSS Data Science and Machine Learning: Making Data-Driven Decisions programme.

My role

Built recommendation and classification models using Python and the scientific computing ecosystem.

Applied projects

01

Product recommendations

Built a recommendation system to suggest Amazon products to users.

02

Lead conversion classification

Built a model to identify customers likely to convert to paying customers based on their attributes, lead information, and interactions.

View my learning portfolio ↗
All experienceNext: Andela ↗