Leo had to choose his tool. Since he wanted to predict a specific price, he bypassed "unsupervised learning" and chose . Specifically, he selected a Linear Regression algorithm, a staple for predicting continuous values. Step 3: The Trial (Training & Testing)

7 stages of ML model development | Steps in machine learning life cycle

The guide warned that a model is only as good as its fuel. Leo spent hours gathering "high-quality data," cleaning out missing values and fixing "messy" entries. He used and Pandas to transform raw noise into a structured table. Step 2: The Blueprint (Model Selection)

Leo sat in a dim room, his screen glowing with thousands of rows of messy housing data. He had been tasked with predicting market prices, but his manual formulas were failing. He opened his guide, and began to follow the path it laid out. Step 1: The Foundation (Data Collection)

The phrase "" refers to a popular instructional book by Rudolph Russell .