This project delves into a rich dataset containing information about short-term rentals in a geographic location. By analyzing this data, we aim to uncover insights and trends within the rental market.
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[Feature]: Convert the non-numerical features into numerical #11
How can I effectively encode non-numerical features like 'neighbourhood_group', 'neighbourhood', and 'room_type' into numerical representations, ensuring optimal utilization of this categorical data for analysis and modeling purposes while maintaining the meaningful distinctions inherent in each feature?
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So, what is it about?
How can I effectively encode non-numerical features like 'neighbourhood_group', 'neighbourhood', and 'room_type' into numerical representations, ensuring optimal utilization of this categorical data for analysis and modeling purposes while maintaining the meaningful distinctions inherent in each feature?
Code of Conduct