claude-cookbooks

Auto-correlation analysis for time series dependency and pattern detection

Analysis of variance for comparing group means

ARIMA-based time series forecasting for trend and seasonal predictions

ARIMA parameter estimation for seasonal and non-seasonal AR, MA, ARMA, and ARIMA models

Marketing attribution modeling and analysis

Automated ARIMA model selection and forecasting

Change point detection in time series for structural breaks

Chi-square test of independence for categorical variables

Convolution operations for signal processing and filtering

Comprehensive data profiling and quality assessment using Teradata ClearScape Analytics descriptive statistics functions

Decision forest ensemble classifier for robust predictions

Signal detrending for baseline correction and trend removal

Fourier transformation for frequency domain analysis

Time series differencing for stationarity and trend removal

Fast Fourier Transform for frequency domain analysis and spectral decomposition

F-test for comparing variances between two groups

Hierarchical clustering for nested data grouping

Approximate nearest neighbor search using HNSW algorithm

Inverse Fast Fourier Transform for time domain reconstruction

K-Nearest Neighbors for classification and regression

Linear regression analysis for continuous target prediction

Logistic regression for binary and multinomial classification

Moving average based forecasting for smoothed predictions

Path analysis for sequential event patterns

Categorical variable encoding using TD_OneHotEncodingFit and Transform

Score data using ONNX models (Bring Your Own Model)

Ordinal encoding for ordered categorical variables

Outlier detection and handling using TD_OutlierFit

Partial auto-correlation analysis for direct lag relationships

Score data using PMML models (Bring Your Own Model)

Ljung-Box portmanteau tests for model diagnostics and residual analysis

Power spectrum analysis for frequency domain insights and periodicity detection

Signal resampling and interpolation for rate conversion

ROC curve and AUC analysis for binary classification evaluation

Seasonal pattern decomposition and analysis

Sentiment analysis for text documents and sentences

Session analysis and user journey tracking

SHAP values for model explainability and feature importance

Silhouette coefficient for clustering quality evaluation

Missing value imputation using TD_SimpleImputeFit