Linear Regression

The collection encompasses various applications and methodologies related to predictive analytics using linear regression techniques. It includes studies on energy demand forecasting, analyzing sales data, and conducting clinical research, as well as discussions on machine learning frameworks, inferential statistics, and the intricacies of model training. The resources also delve into practical examples like property pricing, credit risk assessment, and air quality predictions, highlighting the versatility of linear regression across different domains and its fundamental role in statistical analysis.