#25 Introduction to Regression Case Study | Python for Data Science

Welcome to ‘Python for Data Science’ course !

This video introduces a new case study focused on regression: predicting the price of used cars. It presents a scenario with an e-commerce company aiming to build a model that accurately estimates the price of used cars based on various features. You’ll be introduced to the dataset, encompassing features like car specifications, condition, seller details, and advertisement information. It also emphasizes that this case study, unlike the binary classification problem of the previous case study, involves predicting a continuous variable (price) and highlights the importance of understanding the data and its characteristics before diving into model building.
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#Regression #UsedCarPricePrediction #Ecommerce #FeatureEngineering #OutlierDetection