Machine Learning model which uses closed-form solution of Locally Weighted Regression (LOWESS) Algorithm to predict the Quality of Air

Robust locally weighted multiple regression in Python

Predicting quasar spectra using functional regression(Nadaraya-Watson model)

Contains submissions of the Soft Computing Elective Course at IIITA.

VTU Machine Learning lab programs in Python (2015 SCHEME)

This linear Regression is specificly for polynomial regression with one feature. It contains Batch gradient descent, Stochastic gradient descent, Close Form and Locally weighted linear regression.

Tips given at restaurants modelled using the memory intensive Locally-Weighted-Regression.

Locally Weighted Regression

Programming assignment code of Computational Statistics taught at IIT Kharagpur by Prof. Swanand Ravindra Khare

An Open-Source Python framework for Locally Weighted Regression and Classification, built on PyTorch and Scikit-Learn

This project leverages Polynomial Regression to predict building energy consumption, focusing on both heating and cooling loads. It features in-depth exploratory data analysis, and robust model evaluation to optimize prediction accuracy for energy-efficient building design.

(VTU) aritficial Intelligence and machine learning practical programs and algorithms

ML using NumPy and Pandas

numpy implementation of mere and locally-weighted logistic regression for binary classification problem.

Regression models on Boston Houses dataset

Machine Learning Assignments of the course COL774 taken by Parag Singla, at IIT Delhi.

This repository contains implementations of advanced regression methods, including ordinary least squares, Poisson regression, and locally weighted regression. It also explores bias-variance decomposition for regularized mean estimators. The analysis is conducted on the Capital Bikesharing dataset using Python.

Collection of assignments offered under COL774 - Machine Learning by Prof. Parag Singla