1.1 Introduction
1.2 Understanding the Objective
1.3 AI Project Steps
2.1 Steps to Set up Your Environment
2.2 Why We Need to Setup Our Environment
2.3 Setting up Our Project Environment
3.1 Steps for Loading a Pretrained Model
3.2 Load & Test a Pretrained Model
4.1 Why do We Need to Evaluate AI Models
4.2 Loading Custom Data for Model Evaluation
4.3 Creating a Function for Model Evaluation
4.4 Get Predictions & Convert to Binary
4.5 Accuracy Score & Classification Report
4.6 Evaluating an AI Model for Improvements
5.1 Interactive Testing an AI Model
6.1 Build an AI Web App with Streamlit
