arnabbiswas1 / feature_engineering_with_tsfresh_and_daskLinks
How to automate feature generation process for large scale time series data using two python libraries tsfresh and Dask
☆13Updated 4 years ago
Alternatives and similar repositories for feature_engineering_with_tsfresh_and_dask
Users that are interested in feature_engineering_with_tsfresh_and_dask are comparing it to the libraries listed below
Sorting:
- Multiple linear regression from Statsmodels library coupled with Xarray library☆14Updated 6 years ago
- Figures with precise control over overall width, plot aspect ratio, between-plot spacing, and colorbar dimensions.☆16Updated 3 years ago
- Jupyter notebooks for research and teaching☆10Updated 3 years ago
- Advanced algorithms for xarray☆39Updated 5 months ago
- Analysis and visualisation of atmospheric model output powered by iris.☆16Updated 3 weeks ago
- Scripts to calculate moment diagnostics for the stratospheric polar vortex☆12Updated 6 years ago
- Extended Sea Ice Outlook☆11Updated 6 years ago
- ☆10Updated 3 years ago
- A xarray extension to show velocity fields as interactive maps in jupyterlab☆12Updated 4 years ago
- Material (Jupyter Notebooks) for the University of Otago Climate Data and Analytics Workshop (26 May 2022)☆13Updated 3 years ago
- Statistical tests on xarray objects☆14Updated last week
- Code for Sergeev et al. (2020)☆12Updated 2 years ago
- Explore the High-Resolution Rapid Refresh weather forecast output using Pyviz (hvplot and panel)☆14Updated last year
- Building your own Weather App using NOAA Open Data and Jupyter Notebooks☆17Updated 7 years ago
- xarray-compatible digital signal processing tools☆10Updated 5 years ago
- Interactivate plotting of NetCDF data in Python☆13Updated last month
- The backbone of my geo-spatial analysis code.☆10Updated last year
- Nested bootstrap resampling of xarray objects☆18Updated 7 months ago
- Python for Climate and Meteorological Data Analysis and Visualisation☆21Updated 6 years ago
- Trajectory analysis software, that produces time height cross sections with residencte time clustered by surface type.☆11Updated 3 weeks ago
- deprecated. use geopandas.☆14Updated 3 years ago
- Package for analyzing and visualizing atmospheric data☆14Updated 7 years ago
- A simple way to evaluate Copernicus Climate Change (C3S) seasonal forecasts monthly data☆13Updated 3 years ago
- A lightweight machine learning framework for Xarray☆22Updated last year
- a collection of remote climate data accessed via intake cached to disk☆19Updated last month
- Intake-esm Datastore☆14Updated 2 weeks ago
- A climate change scenario-building analysis framework.☆20Updated last week
- Python GUI of Earth Observations and Model Evaluation Toolkit☆12Updated 6 years ago
- The API for end users for esgf compute stacks (cwt)☆11Updated 4 years ago
- This is an experimental project that seeks to integrate PySpark and xarray for Climate Data Analysis.☆22Updated 7 years ago