Neural networks

Pre-processing

Data exploration (clean-up)
Data transformation
Outlier detection and removal
Data normalization, one of:
- Min-Max normalization: linear scaling into a data range, typically [0,1]
- Zscore normalization: input variable data is converted into zero mean and unit variance
- Sigmoidal normalization: nonlinear transformation of the input data into the range [-1,1], with a sigmoid function
- Other normalization: e.g. if a variable is exponentially distributed, take the logarithm
Data analysis
Validation of results