Machine Learning Steps:
- Define problem (Regression or Classification)
- Prepare data:
- Preprocessing
- Freature Transformation
- Feature Selection
- Choose algorithm
- Evaluate algorithm:
- n-folds cross validation
- ROC
- Precision-Recall
- confusion table
- Improve result:
- Manually tune the parameters
- Automatic Grid Search
- Validate with new data set
- Present results