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This repository contains code and documentation for participating in the Kaggle competition: Used Car Price Prediction. The goal of the competition is to predict the price of used cars based on various attributes using machine learning models. The project is scored based on the Root Mean Squared Error (RMSE).
This machine learning project predicts house prices based on diverse features, utilizing a dataset containing historical housing data. With organized directories for data, source code, and models, it provides a foundation for accurate predictions and future enhancements. 🏡📈
SSE is the basic model of Seach Engine or what people say "Google Search". The working of the model is based on Wikipedia content and the second part of the program use the words from content and use to learn and train the search for better understanding.