6  Data Transformation

DataTransformationMindMap Start Data Transformation TimeSeries Time Series Transformations Start:e->TimeSeries:w LogTransform Log Transformation Start:e->LogTransform:w FeatureEng Feature Engineering Start:e->FeatureEng:w Encoding Encoding Categorical Data Start:e->Encoding:w Fourier Fourier Transform for Seasonality Start:e->Fourier:w Outliers Outlier Treatment Start:e->Outliers:w Binning Binning Data Start:e->Binning:w PCA Dimensionality Reduction (PCA) Start:e->PCA:w TimeSeries1 Lagging, Differencing, Rolling Window TimeSeries->TimeSeries1 LogTransform1 Stabilize variance, reduce skewness LogTransform->LogTransform1 FeatureEng1 Derive new variables from existing data FeatureEng->FeatureEng1 Encoding1 One-Hot & Label Encoding Encoding->Encoding1 Fourier1 Detect hidden seasonality patterns Fourier->Fourier1 Outliers1 Z-score, IQR, Winsorization Outliers->Outliers1 Binning1 Categorize continuous values into bins Binning->Binning1 PCA1 Reduce multicollinearity in regression PCA->PCA1