Neural networks

Pre-processing

Data exploration (clean-up)
Data transformation
Outlier detection and removal
Data normalization, one of:
- Min-Max Normalization, min-max normalization is a linear scaling algorithm. It transforms the original input range into a new data range (typically 0-1).
- Zscore Normalization, in Zscore normalization, the input variable data is converted into zero mean and unit variance.
- Sigmoidal Normalization, sigmoidal normalization is a nonlinear transformation. It transforms the input data into the range -1 to 1, using a sigmoid function
Data analysis
Validation of results