regularized-linear-regression

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JuliaStats /Lasso.jl

Star146

Lasso/Elastic Net linear and generalized linear models

julia lasso regularized-linear-regression l1

UpdatedDec 15, 2025
Julia

SouravG /Housing-price-prediction-using-Regularised-linear-regression

Star27

Housing price prediction using Regularised linear regression

machine-learning-algorithms gradient-descent regularized-linear-regression normal-equation housing-price-prediction

UpdatedFeb 17, 2020
Jupyter Notebook

Sequential adaptive elastic net (SAEN) approach, complex-valued LARS solver for weighted Lasso/elastic-net problems, and sparsity (or model) order detection with an application to single-snapshot source localization.

adaptive-learning sparse-regression matlab-toolbox regularized-linear-regression elastic-net sparse-reconstruction lasso-regression source-localization acoustic-model regularization-paths direction-of-arrival sparse-regularization compressed-beamforming complex-valued-data solution-path

UpdatedMar 5, 2020
MATLAB

wyattowalsh /regularized-linear-regression-deep-dive

Sponsor

Star13

Explanations and Python implementations of Ordinary Least Squares regression, Ridge regression, Lasso regression (solved via Coordinate Descent), and Elastic Net regression (also solved via Coordinate Descent) applied to assess wine quality given numerous numerical features. Additional data analysis and visualization in Python is included.

python optimization jupyter-notebook regression regularization ridge-regression regularized-linear-regression lasso-regression coordinate-descent ordinary-least-squares elastic-net-regression

UpdatedJan 20, 2021
Jupyter Notebook

flsing /machine-learning

Star13

Andrew Ng's Machine Learning Course

machine-learning linear-regression coursera neural-networks logistic-regression recommender-system support-vector-machines principal-component-analysis andrew-ng regularized-linear-regression bias-variance anomaly-detection multi-class-classification k-means-clustering

UpdatedJul 27, 2018
MATLAB

ankitbit /Statistical_Learning_Theory

Star8

This repository corresponds to the course "Statistical Learning Theory" taught at the School of Mathematics and Statistics (FME), UPC under the MESIO-UPC-UB Joint Interuniversity Master's Program under the instructor Pedro Delicado

machine-learning statistics statistical-learning regularization upc ridge-regression regression-models regularized-linear-regression lasso-regression

UpdatedJun 21, 2019
Jupyter Notebook

vincent27hugh /myRegression-Python

Star6

This is the implementation of the five regression methods Least Square (LS), Regularized Least Square (RLS), LASSO, Robust Regression (RR) and Bayesian Regression (BR).

lasso regularized-linear-regression least-square-regression robust-regresssion bayesian-regression

UpdatedMar 1, 2019
Python

nafisa-samia /Automobile-Price-Prediction-using-Linear-Regression

Star5

Predict the vehicle price from the open source Auto data set using linear regression. In this data set, we have prices for 205 automobiles, along with other features such as fuel type, engine type,engine size,etc.

linear-regression lasso feature-selection feature-engineering regularized-linear-regression ridge rfe kbest

UpdatedJan 9, 2022
Jupyter Notebook

kevilkhadka /ML-Regularized_Linear_Regression-Bias_Variance-MATLAB

Star5

Here, we implement regularized linear regression to predict the amount of water flowing out of a dam using the change of water level in a reservoir. In the next half, we go through some diagnostics of debugging learning algorithms and examine the effects of bias v.s. variance.

random linear-regression cross-validation gradient polynomial-regression learning-curve regularized-linear-regression bias-variance cost-function regularization-methods

UpdatedJun 21, 2020
MATLAB

vrn25 /Machine-Learning-Coursera

Star3

Solutions to Coursera's Intro to Machine Learning course in python

machine-learning numpy machine-learning-algorithms neural-networks matplotlib data-compression python-3 backpropagation-learning-algorithm jupyter-notebooks support-vector-machines recommender-systems regularized-linear-regression gradient-descent-algorithm k-means-clustering pca-implementation regularized-logistic-regression machine-learning-design anomaly-detection-algorithm feature-normalization machine-learning-curves

UpdatedAug 4, 2019
Jupyter Notebook

emilstahl97 /Scalable-Machine-Learning-and-Deep-Learning-ID2223

Star3

The course studies fundamentals of distributed machine learning algorithms and the fundamentals of deep learning. We will cover the basics of machine learning and introduce techniques and systems that enable machine learning algorithms to be efficiently parallelized.

deep-neural-networks linear-algebra machine-learning-algorithms regularized-linear-regression distributed-machine-learning sequence-modeling

UpdatedJan 16, 2022
Jupyter Notebook

nanxstats /logreg

Star3

Regularized logistic regressions with computational graphs

automatic-differentiation logistic-regression regularization computational-graphs regularized-linear-regression

UpdatedDec 20, 2021
R

JuzerShakir /Linear_Regression

Star3

A Mathematical Intuition behind Linear Regression Algorithm

machine-learning algorithm vector linear-regression linear-algebra mse matrices gradient-descent linear-equations hypothesis regularized-linear-regression feature-scaling multivariate-regression bias-variance univariate-regressions house-price-prediction cost-function partial-derivative mean-square-error mean-normalization

UpdatedNov 4, 2021

samtwl /Machine-Learning

Star3

This repository contains several machine learning projects done in Jupyter Notebooks

machine-learning machine-learning-algorithms jupyter-notebook python3 topic-modeling logistic-regression decision-tree regularized-linear-regression multivariate-linear-regression machine-learning-models multi-class-classification gaussian-naive-bayes-implementation random-forest-regression gradient-boosting-regressor extreme-gradient-boosting

UpdatedJun 10, 2019
Jupyter Notebook

vadimtyuryaev /RegrCoeffsExplorer

Star3

A tool for visualizing the coefficients of various regression models, taking into account empirical data distributions.

visualization lm confidence-intervals glmnet glm regularized-linear-regression lasso-regression rpackage regression-analysis regularized-logistic-regression statistics-for-data-science coefficients-of-linear-regression empirical-data selectiveinference postselectioninference

UpdatedJan 14, 2025
R

ibodumas /MachineAlgorithm

Star2

I developed a function to perform regularized linear and Gaussian basis functions for regression. Some dataset from the UCI machine learning repository were used to validate the function.

machine predictive-modeling regression-models regularized-linear-regression regularized-gaussian-regression gaussian-basis-function