a simple introduction to data science
n types include: Supervised Learning: For prediction and classification (e.g., linear regression, decision trees, support vector machines) Unsupervised Learning: For clustering and pattern detection (e.g., k-means, hierarchical clustering) Reinforcement Learning: For decision-making proc