#CurrencyPairPrediction Feature Transformation Raw features might not be in a usable form. Transform them to improve learning: • Normalization / Standardization: Bring all features into a similar scale (mean = 0, std = 1). • Log Transformation: Stabilize variance in highly skewed features (like volume). • Differencing: Remove trends, make data stationary. • Discretization (Binning): Convert continuous variables into categorical bins (like “high volatility” or “low volatility”).