Results for “time-series”
15 skills
schattenspiegel pandas-python
Write, review, debug, test, or optimize pandas Series, DataFrame, Index, groupby, merge, reshape, dtype, missing-value, and time-series code.
0 · bundle
tools-only 200-aeon-e7807df1
Guides feature extraction and preprocessing for time series data using aeon transformers, covering collection and series transformers with code examples.
7 · bundle
leandrobenjaminl time-series-analysis
Analiza series temporales: tendencia, estacionalidad y pronóstico con Prophet, statsmodels y ML, incluyendo descomposición, tests de estacionariedad y evaluación contra baselines.
0 · bundle
majiayu000 aeon
Provides scikit-learn compatible algorithms for time series machine learning, including classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search.
567 · bundle
qhjqhj00 aeon
Performs time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search using the aeon toolkit.
3 · bundle
k-dense-ai timesfm-forecasting
Forecast any univariate time series (sales, sensors, energy, vitals, weather) zero-shot using Google's TimesFM foundation model, with point forecasts and prediction intervals from CSV, DataFrame, or array inputs.
30.2k · bundle
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lingxling aeon
Runs time series machine learning tasks—classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search—using the scikit-learn compatible aeon toolkit.
253 · bundle
k-dense-ai statsmodels
Fit statistical models (OLS, GLM, ARIMA, mixed models) with detailed diagnostics, residuals, and inference for econometrics and time series analysis.
30.2k · bundle
mukul975 building-incident-timeline-with-timesketch
Build collaborative forensic incident timelines using Timesketch to ingest, normalize, and analyze multi-source event data for attack chain reconstruction and investigation documentation.
24.6k · bundle
ecnu-icalk 5-k
Reads and preprocesses 5-minute stock candlestick CSV data, then clusters the time series using tslearn's TimeSeriesKMeans, including data cleaning, percentage change calculation, model training, saving, and representative sample extraction.
559
mukul975 building-super-timelines-with-plaso
Build forensic super timelines from disk images using Plaso (log2timeline) and triage them in Timesketch.
24.6k · bundle
microsoft azure-kusto
Execute KQL queries and manage Azure Data Explorer resources for fast, scalable big data analytics on log, telemetry, and time series data.
2.7k
schattenspiegel statsmodels-python
Write, review, debug, or interpret Python statistical models using statsmodels, including formulas, regression, GLM, time series, robust covariance, diagnostics, prediction intervals, and inference.
0 · bundle
jeffallan pandas-pro
Perform efficient pandas DataFrame operations for data analysis, manipulation, and transformation with production-grade patterns.
10.4k · bundle
ecnu-icalk k
Compresses long K-line (candlestick) data into a fixed-length sequence using OHLC aggregation rules and applies min-max normalization.
559