36,840 skills sorted by stars.
UAF-specific data preparation and validation for time series analysis
Comprehensive data profiling and quality assessment using Teradata ClearScape Analytics descriptive statistics functions
Decision forest ensemble classifier for robust predictions
Decision tree classifier for categorical prediction and rule extraction
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
Digital filtering for noise reduction and signal enhancement
Comprehensive Generalized Linear Model analytics for regression and classification
Hierarchical clustering for nested data grouping
Inverse Fast Fourier Transform for time domain reconstruction
Expert assistance for importing data to Treasure Data using the JavaScript SDK. Use this skill when users need help with...
K-means clustering for customer segmentation and data grouping
Linear regression analysis for continuous target prediction
Logistic regression for binary and multinomial classification
TD MCP server setup for Claude Code integration. Covers installation, regional configuration (us01, jp01, eu01), availab...
Automated model selection and comparison for optimal forecasting
Moving average based forecasting for smoothed predictions
Naive Bayes classifier for probabilistic classification
N-gram generation for text preprocessing
Path analysis for sequential event patterns
Categorical variable encoding using TD_OneHotEncodingFit and Transform
Outlier detection and handling using TD_OutlierFit
Partial auto-correlation analysis for direct lag relationships
Advanced parameter estimation and optimization for UAF models
Time series visualization and diagnostic plotting utilities
Ljung-Box portmanteau tests for model diagnostics and residual analysis
Power spectrum analysis for frequency domain insights and periodicity detection
Random forest ensemble classifier for high-accuracy classification
Comprehensive regression model evaluation using TD_RegressionEvaluator
Signal resampling and interpolation for rate conversion
Data scaling and normalization using TD_ScaleFit and TD_ScaleTransform
Seasonal pattern decomposition and analysis
Session analysis and user journey tracking
Missing value imputation using TD_SimpleImputeFit
Signal smoothing and noise reduction techniques
Power spectral density estimation for frequency content analysis
Statistical tests for time series stationarity (ADF, KPSS, PP tests)
Support Vector Machine for linear and non-linear classification
Term Frequency-Inverse Document Frequency for text analysis
Data splitting for model validation using TD_TrainTestSplit
Vector distance calculations for similarity analysis
Signal windowing for spectral analysis and leakage reduction
Use when implementing any feature or bugfix, before writing implementation code
Guide Test-Driven Development using Kent Beck's Red-Green-Refactor cycle. Use when writing tests, implementing features...
Evaluate if TDD is beneficial for current task and set up test-first approach. Use after plan and split strategy are dec...
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