A simple implementation of the LOESS algorithm using numpy

Julia package containing utilities intended for Time Series analysis.

Multivariate Local Polynomial Regression and Radial Basis Function Regression

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.

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

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

Apply groupwise lowess smoothing to a dataframe.

Measuring Swedish labor demand using job ads.

The repository presents the notebooks and models used for my experimental thesis entitled: "Experimental Study of the Steel Market Through CNN-LSTM Deep Learning Models: Practical Applications for Cost Reduction in Industries"

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.