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Melbourne Housing Snapshot
Project type
machine learning
Date
Oct 2023
Melbourne's real estate market analysis
I conducted a comprehensive analysis of Melbourne's real estate market using machine learning techniques. Following DanB's step-by-step guide, I acquired proficiency in a variety of machine learning concepts, including DecisionTreeRegressor, mean_absolute_error, train_test_split, and RandomForestRegressor.
To enhance the accuracy of house price predictions within Melbourne city, I harnessed the power of data with the help of pandas and scikit-learn libraries. This approach allowed me to create robust models for real estate price estimation.
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