In this project, we will handle three main tasks: explore the data and gain some insights into Adventure Works customer characteristics and purchasing behavior, build a classification model to predict customer purchasing behavior, build a regression model to predict customer purchasing behavior In 1998, the Adventure Works Cycles company collected a large volume of data about their existing customers, including demographic features and information about purchases they have made. The company is particularly interested in analyzing customer data to determine any apparent relationships between demographic features known about the customers and the likelihood of a customer purchasing a bike. Additionally, the analysis should endeavor to determine whether a customer's average monthly spend with the company can be predicted from known customer characteristics.
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In this project, we will handle three main tasks: explore the data and gain some insights into Adventure Works customer characteristics and purchasing behavior, build a classification model to predict customer purchasing behavior, build a regression model to predict customer purchasing behavior