loess

There are 1 repository under loess topic.

• joaofig / pyloess

  A simple implementation of the LOESS algorithm using numpy

  data-sciencelinear-regressionloess
  Language:Jupyter Notebook 64

• sigvaldm / localreg

  Multivariate Local Polynomial Regression and Radial Basis Function Regression

  regressionloesslowessradial-basis-functionnon-parametrickernel-methodsmultivariate
  Language:Python 46
• Forecast.jl

  viraltux / Forecast.jl

  Julia package containing utilities intended for Time Series analysis.

  time-seriesloessstlforecastmauna-loasmoothingtrend-decompositionmultivariateautoregressiveboxcoxvar
  Language:Julia 46

• chdh / commons-math-interpolation

  A partial TypeScript port of the Apache Commons Math Interpolation package, including Akima cubic spline interpolation and LOESS/LOWESS local regression.

  akimacubic-splinesinterpolationloesslowess
  Language:TypeScript 25

• viraltux / Smoothers.jl

  Collection of basic smoothers and smoothing related applications

  decompositionfilterhmajulialoesssmasmoothingstltime-series
  Language:Julia 15

• stdlib-js / stats-lowess

  Locally-weighted polynomial regression via the LOWESS algorithm.

  nodejsjavascriptstdlibnodenode-jsstatisticsstatsmathematicsmathsmoothingsmootherlowessloessregressionweightedweightslocallocally
  Language:JavaScript 6

• debdattasarkar / Advanced-Time-Series-Analysis-for-Order-Predictions

  LSTM and TensorFlow: Advanced Time Series Analysis for Order Predictions

  deep-learningjupyterjupyter-notebookloesslstmmachine-learningpythonpython3stltensorflow2time-series
  Language:Jupyter Notebook 2

• santifiorino / loess

  Locally weighted regression, or loess, is a way of estimating a regression surface through a multivariate smoothing procedure, fitting a function of the independent variables locally and in a moving fashion analogous to how a moving average is computed for a time series.

  loessregressionmachine-learningpython
  Language:Jupyter Notebook 2
• local-polynomial-regression-lecture

  stinco / local-polynomial-regression-lecture

  Lecture on Local Polynomial Regression given for the Statistical Machine Learning exam at University of Trieste

  regressionrggplot2loesssemiparametricnonparametricnonparametric-regressionstatistics
  Language:TeX 2

• nmandery / stlplus-rs

  Port of the enhanced Seasonal Trend Decomposition using Loess (STL) implementation to rust

  loessstltime-series
  Language:Rust 1

• jarred13 / Predicting_Heart_Disease

  This was my finial paper for my Harvard Data Science Certification. This paper used machine learning to predict if a patient had heart disease or not.

  bayer-classificationcaretdata-sciencedecision-tree-classifierensemblef1-scorehealthcareheartheart-disease-predictionk-nearest-neighborslinear-discriminant-analysisloessmachine-learningneural-networkpaperquadratic-discriminant-analysisrandom-forest
  0

• kevindeeboman / masters_project

  Measuring Swedish labor demand using job ads.

  labor-demandjupyter-notebookjobadslabor-marketjobtechdevarbetsformedlingenscbeconomicsregressionloesspsycopg2digg
  Language:Jupyter Notebook 0

• lukiwieser / lowess-grouped

  Apply groupwise lowess smoothing to a dataframe.

  data-analysisdata-scienceloesslowesspythonsmoothingstatisticssavitzky-golay-filter
  Language:Python 0

• zimolzak / emptying-trash

  Estimate the time to completion on a long "empty the trash" operation.

  macosggplot2loesssysadmintrash
  Language:R