Python: Master House Price Prediction with Linear Regression

By the end of this course, learners will be able to prepare housing datasets, apply preprocessing and transformation techniques, engineer meaningful features, perform exploratory data analysis, and build predictive models using linear regression in Python. You will also learn to evaluate multicollinearity with Variance Inflation Factor (VIF) and validate prediction accuracy with best practices in model evaluation. This course is designed to take you step by step through the entire workflow of predictive modeling, starting with project setup and dataset understanding, followed by advanced tech…