House Price Predictor is a machine learning project designed to estimate future property prices based on historical data. The model leverages data sourced from Kaggle and adjusts for an inflation rate of 19.87%.
Predict future house prices: Get an estimate of property values based on historical trends.
Data-driven insights: Utilizes a comprehensive dataset from Kaggle.
Inflation adjustment: Prices are adjusted to account for a 19.87% inflation rate.
Access the deployed application here
The historical data used in this project is sourced from Kaggle. You can find the dataset here.
The prices predicted by this model are adjusted to account for an inflation rate of 19.87%. This adjustment ensures that the price estimates are reflective of current economic conditions.
The house price predictions provided by this project are intended solely for informational purposes and are not guaranteed to be accurate. These predictions are generated using a machine learning model trained on historical data sourced from Kaggle, which has been adjusted to reflect an inflation rate of 19.87%.
It is important to understand that the predicted prices are merely estimates and can vary significantly based on numerous factors that were not accounted for in this model. Such factors include, but are not limited to, local economic conditions, housing market trends, property-specific characteristics, changes in interest rates, government policies, and unforeseen events.