#### Summary
* Datasets provided by **Machine Hack: Melanoma Tumor Size Prediction**
* Training Set: **9,146** entries, **10** features
* Test Set: **36,584** entries, **10** features
* Tools Used: **NumPy** | **pandas** | **Matplotlib** | **Seaborn** | **Scikit-Learn** | **Keras**
* Constructed a regressor to predict the numerical value of melanoma tumor size based on relevant attributes.
* Models Trained/Evaluated: **Multiple Linear Regression** | **Random Forest** | **Support Vector Machine** | **Multi-Layer Perceptron** | **Keras Regression**
* Optimized models by tuning their hyperparameters with **RandomizedSearchCV**.
* Best Model: **Random Forest**
* Best Model Performance: **MSE** = **8.25** | **R2** = **0.23**