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

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What you'll learn

This course includes

  • 9.5 hours of video
  • Certificate of completion
  • Access on mobile and TV

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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. NPTEL Courses permit certifications that can be used for Course Credits in Indian Universities as per the UGC and AICTE notifications. To understand various certification options for this course, please visit https://nptel.ac.in/courses/106106212 #Regression #UsedCarPricePrediction #Ecommerce #FeatureEngineering #OutlierDetection

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