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Machine Learning
Car Price Prediction
Predicting resale value of automobiles using Random Forest Regression on multi-variate data.

Project Overview
Estimating car prices by aggregating predictions from multiple decision trees for higher stability.
Technologies Used
PythonRandom ForestScikit-learn
Methodology
- 1Encoding categorical variables like Fuel Type.
- 2Feature importance analysis for price drivers.
- 3Training the forest with bootstrap sampling.
- 4Reducing variance in predictions via ensemble.