GitHub
td-parameter-estimation
Advanced parameter estimation and optimization for UAF models
Skills IA Données et IA
Découvrez les skills Données et IA, comparez leurs dépôts et consultez leurs instructions.
Catégories: Données et IA
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Explorer
GitHub
td-stationarity-test
Statistical tests for time series stationarity (ADF, KPSS, PP tests)
GitHub
td-sessionize
Session analysis and user journey tracking
GitHub
monitor-resources
Monitor AMP processor load, system physical resources, and capacity using real-time resources to track system health and identify performance bottlenecks
GitHub
tune-workloads
Analyze workload classification and **autonomously configure** classification rules, filters, and priorities to improve accuracy and meet business requirements
GitHub
td-dfft
Fourier transformation for frequency domain analysis
GitHub
td-powerspec
Power spectrum analysis for frequency domain insights and periodicity detection
GitHub
td-change-point
Change point detection in time series for structural breaks
GitHub
td-attribution
Marketing attribution modeling and analysis
GitHub
td-column-transformer
Advanced column transformation and feature engineering
GitHub
td-scale-fit
Data scaling and normalization using TD_ScaleFit and TD_ScaleTransform
GitHub
td-ifft
Inverse Fast Fourier Transform for time domain reconstruction
GitHub
td-seasonal-decompose
Seasonal pattern decomposition and analysis
GitHub
td-acf
Auto-correlation analysis for time series dependency and pattern detection
GitHub
td-arima-forecast
ARIMA-based time series forecasting for trend and seasonal predictions
GitHub
td-detrend
Signal detrending for baseline correction and trend removal
GitHub
td-regression-evaluator
Comprehensive regression model evaluation using TD_RegressionEvaluator
GitHub
td-svm
Support Vector Machine for linear and non-linear classification
GitHub
td-vector-distance
Vector distance calculations for similarity analysis
GitHub
td-data-profiling
Comprehensive data profiling and quality assessment using Teradata ClearScape Analytics descriptive statistics functions
GitHub
monitor-workloads
Monitor workload definitions, distribution, and TASM statistics using real-time resources to understand classification effectiveness and workload performance
GitHub
td-ngram-splitter
N-gram generation for text preprocessing
GitHub
td-glm
Comprehensive Generalized Linear Model analytics for regression and classification
GitHub
td-model-selection
Automated model selection and comparison for optimal forecasting
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.