Practical Data Science using Python - Linear Regression Data Preparation and Analysis 2

The video tutorial explores the distribution of various engine types and their impact on car prices, using linear regression models. It analyzes price variations based on company, fuel type, and car body, utilizing matplotlib for visualization. The tutorial also examines price distribution by engine location and uses scatter plots to find correlations between car features and price. Feature engineering is demonstrated by creating new fields like fuel economy and car range, followed by bivariate analysis to explore relationships between multiple variables.

What new insight or understanding did you gain from this video?