regularized-linear-regression

Here are 53 public repositories matching this topic...

JuliaStats / Lasso.jl

Lasso/Elastic Net linear and generalized linear models

julia lasso regularized-linear-regression l1

Updated Oct 6, 2024
Julia

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

Updated Mar 5, 2020
MATLAB

wyattowalsh / regularized-linear-regression-deep-dive

Sponsor

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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

Updated Jan 20, 2021
Jupyter Notebook

flsing / machine-learning

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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

Updated Jul 27, 2018
MATLAB

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

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Housing price prediction using Regularised linear regression

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

Updated Feb 17, 2020
Jupyter Notebook

ankitbit / Statistical_Learning_Theory

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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

Updated Jun 21, 2019
Jupyter Notebook

vincent27hugh / myRegression-Python

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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

Updated Mar 1, 2019
Python

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

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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

Updated Jan 9, 2022
Jupyter Notebook

kk289 / ML-Regularized_Linear_Regression-Bias_Variance-MATLAB

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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

Updated Jun 21, 2020
MATLAB

vrn25 / Machine-Learning-Coursera

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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

Updated Aug 4, 2019
Jupyter Notebook

nanxstats / logreg

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Regularized logistic regressions with computational graphs

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

Updated Dec 20, 2021
R

samtwl / Machine-Learning

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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

Updated Jun 10, 2019
Jupyter Notebook

JuzerShakir / Linear_Regression

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A Mathematical Intuition behind Linear Regression Algorithm

Updated Nov 4, 2021

Bennyhwanggggg / Coursera-Machine-Learning

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Course work for Machine Learning Course by Stanford University on Coursera

machine-learning neural-network linear-regression machine-learning-algorithms logistic-regression machine-learning-coursera regularized-linear-regression anomaly-detection k-clustering

Updated Dec 15, 2017
MATLAB

ibodumas / MachineAlgorithm

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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

Updated Oct 4, 2017

GjjvdBurg / SparseStep

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SparseStep: Approximating the Counting Norm for Sparse Regularization

r feature-selection sparse-regression regularized-linear-regression sparse-regularization lasso-variants

Updated Jan 12, 2021
R

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

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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