A Regression model that predicts the price of bulldozers based on their features.

This predicts future price of bulldozers with the use of past prices.

Predicting the Sale Price of Bulldozers using Machine Learning

A bulldozer price predictions workflow.

Validation RMSLE obtained: 0.21163 which is less than the RMSLE score (0.22909) that won the Kaggle Competition.

The BullDozer-Price-Prediction project is a collaborative notebook that uses machine learning techniques to predict the price of bulldozers. The notebook is built using Python and the popular machine learning library, Scikit-learn, making it a great resource for those interested in machine learning and predictive analytics for construction industry

This is a Regression problem to predict Bulldozer price based on given features using Scikit-learn. Data is downloaded from Kaggle Dataset. Achieved RMSLE (Root Mean Squared Log Error) is on Training dataset is 0.12935673426211658