Agentic AI Class 7: Building a Loan Approval Agent with the PECAR Loop скачать в хорошем качестве

Agentic AI Class 7: Building a Loan Approval Agent with the PECAR Loop

Welcome to Module 7! Today, we bridge the gap between Data Science and Agentic AI. We aren't just writing "if-else" statements anymore; we are giving our agents a "Brain" powered by Machine Learning classifiers. In this session, we build two sophisticated agents: The LoanAgent: A Random Forest-powered agent that follows the full PECAR (Perception, Reasoning, Action, Reflection) loop to classify loan risk for different buyer profiles (Sophia, Liam, Olivia, and Ethan). The LoanComparisonAgent: An advanced agent that runs a "Tournament" between three different mathematical models (Logistic Regression, Decision Trees, and Neural Networks) to autonomously decide which algorithm is best for our data. What you will learn today: PECAR in Practice: How to map Machine Learning predictions to "Reasoning" and "Reflection" steps. Encoding & Processing: Handling categorical data (like loan purpose) inside an Agent's class. Model Tournaments: Letting an agent evaluate its own tools (Neural Nets vs. Linear Models) to find the most accurate "Brain." Autonomous Decision Making: Setting guardrails (like FICO score thresholds) that work alongside ML predictions. Master AI with Expert-Led Guidance If you want to move beyond tutorials and get hands-on with these frameworks, check out our official sponsor: GDlearn.in. They offer specialized, instructor-led training in AI Agents, ML, Cloud, and Analytics. Whether you want to attend online or offline, you'll be mentored by industry experts who bring real-time, real-world projects to your screen. Level up your career today! Link in the description below.