Machine Learning project - regression model evaluation:
Visualized the dependency of the target on each continuous feature for Sydney housing dataset;
Preprocessed both categorical and continuous variables by using a pipeline;
Evaluated OLS, Ridge, Lasso and Elastic Net using cross-validation and tuned parameters using grid search;
Analyzed the 20 most important coefficients of the resulting models.
Data Source: Sydney housing data from Kaggle.
Data Link: https://www.kaggle.com/shree1992/housedata
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