Machine Learning, Linear Regression, Algorithms, Data Science, Data Visualization.
each crucial in developing a model that accurately represents the underlying data. Step 1: Data Collection and Preparation Gathering Data: The first step is collecting relevant data that reflects the variables of interest. Cleaning Data: This includes handling missing values, outliers, and ensuring