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House Price Prediction with ML Techniques by Renee Winters is a document available to read on EtoBox.

This document presents a comparative study on house price prediction using various machine learning algorithms, including Linear Regression, Decision Trees, and Support Vector Machines (SVM). The methodology involves data acquisition, preprocessing, and evaluation of model performance using metrics like Mean Squared Error (MSE), Root Mean Squared Error (RMSE), and R-squared. The ultimate goal is to develop an accurate and interpretable model for predicting house prices in the Delhi region based on historica

Author

Renee Winters

Language

EN