Unravelling the Mystery of AI: A Journey into the Future

  Supervised learning algorithms are computational techniques that enable machines to learn patterns from labeled data, facilitating the prediction of outcomes for new or unseen data based on previous examples. Numerous algorithms are utilized in the Supervised Learning technique. However, today, we will direct our attention to a fundamental pillar of Machine Learning that is Decision Trees. Together, we'll peel back the layers of complexity surrounding decision trees, delving into their inner workings and witnessing their remarkable prowess through a captivating real-world example. Deciphering Decision Trees: An Overview Decision trees are versatile and intuitive algorithms used for both classification and regression tasks. Imagine them as a flowchart-like structure where each internal node represents a decision based on an input feature, leading to further nodes or leaf nodes representing the final outcome. Sample Problem: Predicting Loan Approval Consider a scenario whe