A python machine learning based model trained on a sample housing dataset. This code was made referring Deepakshi Mahajan's article published to GeeksForGeeks, last updated on 7th September 2022 (https://www.geeksforgeeks.org/house-price-prediction-using-machine-learning-in-python/).
Python modules used:
- Pandas
- Matplotlib (pyplot)
- Seaborn (heatmap, barplot)
- SciKit-Learn (OneHotEncoder, train_test_split, mean_absolute_percentage_error, svm, RandomForestRegressor, LinearRegression)