DSN-AI-Bootcamp-Qualification-Submission

The objective of this project is to create a predictive model that can estimate the prices of houses in Nigeria by leveraging the provided dataset, identify meaningful patterns and analyzing various factors that impact house prices. For this specific prediction task, LightGBM algorithm is used due to its exceptional performance and efficiency. LightGBM is a gradient boosting framework that excels in handling large datasets and high-dimensional features, making it a perfect choice for our complex real estate dataset. I have documented a report containing insights and data preprocessing procedures on my Tableau Public profile. Kindly click the link below to access and view it: https://public.tableau.com/app/profile/okwuosaikechukwu/viz/DSN-AI-Bootcamp-Qualification-Submission/CoverPage