Leveraging machine learning techniques, I developed a prediction model to estimate the auction selling prices of heavy machinery, effectively creating a "Blue Book" for bulldozers. This was accomplished through the utilization of sophisticated machine learning algorithms like the Random Forest Regressor. In the process, I deepened my expertise in Python libraries including Pandas, NumPy, Scikit-Learn , and Matplotlib, enhancing my toolkit for data analysis, manipulation, and visualization. Check out the Github repository for more information of the code and data behind this project. Below are some snapshots of the data analysis and model evaluations from the jupyter notebook of this project.