Machine learning projects involve using algorithms and statistical models to analyze data, identify patterns, and make predictions or decisions. These projects range from predictive modeling and classification to clustering and recommendation systems, and they can be applied to various domains like finance, healthcare, and marketing. The goal is to build models that can learn from data and improve over time to provide actionable insights or automate tasks.
