A simple implementation of the LOESS algorithm using numpy

Multivariate Local Polynomial Regression and Radial Basis Function Regression

Julia package containing utilities intended for Time Series analysis.

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

Collection of basic smoothers and smoothing related applications

Locally-weighted polynomial regression via the LOWESS algorithm.

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.

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

LSTM and TensorFlow: Advanced Time Series Analysis for Order Predictions

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

Apply groupwise lowess smoothing to a dataframe.

Measuring Swedish labor demand using job ads.

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

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.