Cryptocurrency Recommendation System

Cryptocurrency Recommendation System is a machine-learning recommendation system built by Amer Sinjab to support cryptocurrency analysis and decision-making through data-driven models. It was built as an academic project during his Software Engineering studies at İstinye University.

Machine Learning Python Data Analysis

Overview

Built as part of Amer's Software Engineering studies at İstinye University, this project applies machine-learning models to cryptocurrency data to generate recommendations that support analysis and decision-making, rather than relying on manual chart-reading alone.

Technology

Machine Learning Python Data Analysis

Related Projects

See how this fits into Amer Sinjab's broader work
Product management, software engineering, and AI systems, all in one place.
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