Barde-S/House_price_Prediction

Build a regression model to predict the price of houses # House_price_Prediction Build a regression model to predict the price of houses Wazobia Real Estate Limited is a prominent real estate company operating in Nigeria. With a vast portfolio of properties, they strive to provide accurate and competitive pricing for houses. However, they have been facing challenges in accurately predicting the prices of houses in the current market. To overcome this hurdle, Wazobia Real Estate Limited is seeking the expertise of data scientists like you to develop a robust predictive model. The objective of this hackathon is to create a powerful and accurate predictive model that can estimate the prices of houses in Nigeria. By leveraging the provided dataset, you will analyze various factors that impact house prices, identify meaningful patterns, and build a model that can generate reliable price predictions. The ultimate goal is to provide Wazobia Real Estate Limited with an effective tool to make informed pricing decisions and enhance their competitiveness in the market. By participating in this hackathon, you have the opportunity to make a significant impact on the operations and growth of Wazobia Real Estate Limited. Your data-driven solution will empower the company to overcome their pricing challenges, improve their market position, and deliver enhanced value to their customers. This means that my tasks are: analyse the supplied data; identify potential errors in the data and clean the existing data set; determine if additional features can be added to enrich the data set; build a model that is capable of forecasting the prices of houses in Nieria; evaluate the accuracy of the best machine learning model; determine what features were most important in the model’s prediction decision, and explain the inner working of the model to a non-technical audience.