Machine Learning Project: Bulldozer Sale Price Time Series Regression Problem

• This is an end-to-end machine learning project built with Python that aims to predict the auction sale price of a bulldozer.
• Matplotlib was used for data visualization.
• Pandas was used for data preprocessing (dealing with missing data, parsing dates, and converting categorical data into numbers).
• Scikit-Learn's RandomForestRegressor was used during modeling and achieved a root mean squared log error of 0.25 after hyperparameter tuning.
• Check out the project here.