To Check Impact of Various Components of Automobile on Price
Suraj Jagtap
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Data Modelling Analyst
Data Scientist
Data Visualizer
Microsoft Power BI
Python
• Investigated primary factors influencing car prices, identifying displacement (cc), fuel type, body style, and number of airbags as key determinants.
• Developed a regression model to predict car prices based on these features, achieving a prediction accuracy of 79%, aiding in the selection of economical and comfortable options.
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Explored main factors affecting car prices: displacement, fuel type, body style, and airbags. Built a 79% accurate regression model for cost-effective car .
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Data Modelling Analyst
Data Scientist
Data Visualizer
Microsoft Power BI
Python
Suraj Jagtap
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