Ecosyste.ms: Repos

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GitHub topics: regularized-linear-regression

vadimtyuryaev/RegrCoeffsExplorer

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

Language: R - Size: 914 KB - Last synced: 6 days ago - Pushed: 7 days ago - Stars: 0 - Forks: 0

astonglen/Statistical-Methods-Project

Performed rigorous preprocessing, and data cleaning, and conducted exploratory data analysis to identify trends, patterns, and outliers, leading to valuable insights. Employed various statistical methods concepts to get insights about the data for prediction.

Language: Jupyter Notebook - Size: 3.01 MB - Last synced: 7 days ago - Pushed: 7 days ago - Stars: 1 - Forks: 0

PiotrTymoszuk/htGLMNET

High Throughput Light Weight Regularized Regression Modeling for Molecular Data

Language: R - Size: 43.4 MB - Last synced: about 2 months ago - Pushed: about 2 months ago - Stars: 0 - Forks: 0

JuliaStats/Lasso.jl

Lasso/Elastic Net linear and generalized linear models

Language: Julia - Size: 1.09 MB - Last synced: 19 days ago - Pushed: 9 months ago - Stars: 141 - Forks: 31

wyattowalsh/regularized-linear-regression-deep-dive

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.

Language: Jupyter Notebook - Size: 51 MB - Last synced: 26 days ago - Pushed: over 3 years ago - Stars: 13 - Forks: 1

dynamicanupam/House-Price-Prediction

Advanced regression model to predict housing price for an use case in Australia.

Language: Jupyter Notebook - Size: 5.62 MB - Last synced: 4 months ago - Pushed: 4 months ago - Stars: 0 - Forks: 0

parthsompura/Machine-Learning

Implementation of various Machine Learning (ML) Algorithms learned in the Machine Learning course authorised by Stanford University @ Coursera

Language: MATLAB - Size: 20.9 MB - Last synced: 5 months ago - Pushed: almost 4 years ago - Stars: 0 - Forks: 1

AleksandraSteiner/adaslope

High dimensional linear regression with missing via adaptive SLOPE

Language: R - Size: 77.1 KB - Last synced: 7 months ago - Pushed: almost 4 years ago - Stars: 1 - Forks: 0

vincent27hugh/myRegression-Python

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

Language: Python - Size: 299 KB - Last synced: 7 months ago - Pushed: about 5 years ago - Stars: 5 - Forks: 1

emilstahl97/Scalable-Machine-Learning-and-Deep-Learning-ID2223 πŸ“¦

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.

Language: Jupyter Notebook - Size: 604 MB - Last synced: 8 months ago - Pushed: over 2 years ago - Stars: 0 - Forks: 0

dell-datascience/mlzoomcamp

This repository is dedicated to my participation in Datatalks Mlzoomcamp

Language: Jupyter Notebook - Size: 478 KB - Last synced: 4 months ago - Pushed: 8 months ago - Stars: 0 - Forks: 0

kk289/ML-Regularized_Linear_Regression-Bias_Variance-MATLAB

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.

Language: MATLAB - Size: 2.32 MB - Last synced: 8 months ago - Pushed: almost 4 years ago - Stars: 2 - Forks: 0

bmarroc/machine-learning

Jupyter notebooks implementing Machine Learning algorithms in Scikit-learn and Python

Language: Jupyter Notebook - Size: 3.12 MB - Last synced: 9 months ago - Pushed: almost 3 years ago - Stars: 0 - Forks: 0

HaoLIU94/Beijing_PM2.5

Assessing Beijing’s PM 2.5 pollution: severity, weather impact in R

Language: HTML - Size: 4.02 MB - Last synced: 10 months ago - Pushed: over 6 years ago - Stars: 0 - Forks: 0

fauziah61/Housing-Price-Prediction-using-Regularized-Linear-Regression

Language: Jupyter Notebook - Size: 183 KB - Last synced: 22 days ago - Pushed: 10 months ago - Stars: 0 - Forks: 0

byelipk/regularized-linear-regression

Working on identifying variance and bias

Language: Matlab - Size: 16.6 KB - Last synced: 10 months ago - Pushed: over 7 years ago - Stars: 0 - Forks: 0

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

Housing price prediction using Regularised linear regression

Language: Jupyter Notebook - Size: 57.6 KB - Last synced: 10 months ago - Pushed: over 4 years ago - Stars: 4 - Forks: 4

abhijit12banerjee/HousePricePrediction_AdvancedRegression

A US-based housing company named Surprise Housing has decided to enter the Australian market. The company uses data analytics to purchase houses at a price below their actual values and flip them on at a higher price.

Language: Jupyter Notebook - Size: 2.98 MB - Last synced: 11 months ago - Pushed: over 1 year ago - Stars: 0 - Forks: 1

PiotrTymoszuk/CovILD-IPQ

Analysis pipeline for modeling of illness perception one year after COVID-19

Language: TeX - Size: 62.7 MB - Last synced: about 1 year ago - Pushed: about 1 year ago - Stars: 0 - Forks: 0

samtwl/Machine-Learning

This repository contains several machine learning projects done in Jupyter Notebooks

Language: Jupyter Notebook - Size: 8.08 MB - Last synced: 11 months ago - Pushed: almost 5 years ago - Stars: 3 - Forks: 1

vrn25/Machine-Learning-Coursera

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

Language: Jupyter Notebook - Size: 21.8 MB - Last synced: about 1 year ago - Pushed: almost 5 years ago - Stars: 4 - Forks: 4

ankitbit/Statistical_Learning_Theory

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

Language: Jupyter Notebook - Size: 40.8 MB - Last synced: about 1 year ago - Pushed: almost 5 years ago - Stars: 4 - Forks: 3

JuzerShakir/Linear_Regression

A Mathematical Intuition behind Linear Regression Algorithm

Size: 296 KB - Last synced: about 1 year ago - Pushed: over 2 years ago - Stars: 2 - Forks: 0

tobiapoppi/flight-taxi-out-prediction-ML

A Machine Learning project about a regression problem for the prediction of Taxi-out time in flights, using 9 different ML models, with different algorithms and data-scaling.

Language: Python - Size: 533 KB - Last synced: about 1 year ago - Pushed: almost 3 years ago - Stars: 0 - Forks: 1

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

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.

Language: Jupyter Notebook - Size: 15.7 MB - Last synced: about 1 year ago - Pushed: over 2 years ago - Stars: 3 - Forks: 3

flsing/machine-learning

Andrew Ng's Machine Learning Course

Language: Matlab - Size: 26.8 MB - Last synced: about 1 year ago - Pushed: almost 6 years ago - Stars: 12 - Forks: 14

kuntala-c/Automobile-Price-Prediction-using-Linear-Regression Fork of nafisa-samia/Automobile-Price-Prediction-using-Linear-Regression

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.

Language: Jupyter Notebook - Size: 17.3 MB - Last synced: about 1 year ago - Pushed: over 2 years ago - Stars: 0 - Forks: 0

nanxstats/logreg

Regularized logistic regressions with computational graphs

Language: R - Size: 1.11 MB - Last synced: about 1 year ago - Pushed: over 2 years ago - Stars: 2 - Forks: 1

esra-polat/machine-learning-course-exercises

Machine Learning by Stanford University at Coursera

Language: MATLAB - Size: 36.4 MB - Last synced: about 1 year ago - Pushed: about 3 years ago - Stars: 0 - Forks: 0

GjjvdBurg/SparseStep

SparseStep: Approximating the Counting Norm for Sparse Regularization

Language: R - Size: 85.9 KB - Last synced: 6 months ago - Pushed: over 3 years ago - Stars: 1 - Forks: 1

HarshNagra/machine-learning

Implementation of Machine Learning algorithms using MatLab.

Language: MATLAB - Size: 29.5 MB - Last synced: about 1 year ago - Pushed: almost 4 years ago - Stars: 0 - Forks: 0

jnikhilreddy/Linear-Ridge-regression-and-regularized-logistic-regression

Implementation of Linear Ridge regression and Regularized logistic regression

Language: Python - Size: 2.21 MB - Last synced: about 1 year ago - Pushed: about 4 years ago - Stars: 0 - Forks: 0

Bennyhwanggggg/Coursera-Machine-Learning

Course work for Machine Learning Course by Stanford University on Coursera

Language: Matlab - Size: 21 MB - Last synced: about 1 year ago - Pushed: over 6 years ago - Stars: 1 - Forks: 0

mirzaipatrik/Lasso-regression

Regularized regression using a forest fire data set

Language: R - Size: 90.8 KB - Last synced: 12 months ago - Pushed: over 4 years ago - Stars: 0 - Forks: 0

FarzamTP/Linear-Regression

In this project I tried to implement linear regression and regularized linear regression by my own and compare performance to sklearn model.

Language: Python - Size: 49.8 KB - Last synced: about 1 year ago - Pushed: over 4 years ago - Stars: 0 - Forks: 0

bumblebee26/Machine-Learning-Coursera

This are my solutions to the course Machine Learning from Coursera by Prof. Andrew Ng

Language: MATLAB - Size: 20.9 MB - Last synced: about 1 year ago - Pushed: over 4 years ago - Stars: 0 - Forks: 0

abvnithish/Kaggle_HousingPricePrediction

Competition: https://www.kaggle.com/c/house-prices-advanced-regression-techniques

Language: Jupyter Notebook - Size: 1.2 MB - Last synced: about 1 year ago - Pushed: over 5 years ago - Stars: 1 - Forks: 0

eonu/reg-lm

Experimentation of L1, L2 and ElasticNet regularized linear models (with GLMNet) for predicting the battery capacity of a mobile phone from its specifications.

Language: R - Size: 2.62 MB - Last synced: about 1 year ago - Pushed: almost 5 years ago - Stars: 1 - Forks: 0

dfleis/hierbasis2

Rebuilding & adding some functionality to Haris et al.'s (2016) HierBasis library.

Language: R - Size: 136 KB - Last synced: about 1 year ago - Pushed: about 6 years ago - Stars: 0 - Forks: 0

Related Keywords
regularized-linear-regression 39 machine-learning 19 linear-regression 18 logistic-regression 10 machine-learning-algorithms 8 lasso-regression 8 ridge-regression 6 neural-network 5 anomaly-detection 5 lasso 5 regularized-logistic-regression 4 support-vector-machines 4 regularization 4 recommender-system 4 python 3 regression 3 feature-engineering 3 multi-class-classification 3 principal-component-analysis 3 coursera 3 k-means-clustering 3 bias-variance 3 feature-selection 3 clustering 2 kmeans-clustering 2 andrew-ng 2 sklearn-library 2 glmnet 2 neural-networks 2 machine-learning-coursera 2 r 2 jupyter-notebook 2 kbest 2 cost-function 2 rfe 2 ridge 2 linear-algebra 2 polynomial-regression 2 elastic-net-regression 2 classification 2 regression-analysis 2 pca 2 linear-models 2 l1-regularization 2 lm 2 gradient-descent 2 knn 1 knn-regression 1 multilayer-perceptron-network 1 knearest-neighbor-algorithm 1 r-package 1 coefficients-of-linear-regression 1 numpy 1 pca-implementation 1 python-3 1 recommender-systems 1 regression-models 1 statistical-learning 1 statistics 1 upc 1 algorithm 1 feature-scaling 1 house-price-prediction 1 hypothesis 1 linear-equations 1 matrices 1 mean-normalization 1 mean-square-error 1 mse 1 multivariate-regression 1 partial-derivative 1 univariate-regressions 1 vector 1 penalized-regression 1 nonparametric-regression 1 hierarchical-regression 1 r-notebook 1 prediction 1 l2-regularization 1 elastic-net 1 xgboost 1 stacking 1 ensemble-machine-learning 1 data-science 1 boosting-algorithms 1 bagging 1 ames-housing 1 advanced-regression-techniques 1 svm-classifier 1 octave 1 algorithms 1 k-clustering 1 classification-algorithm 1 stanford-university 1 matlab 1 coursera-machine-learning 1 sparse-regularization 1 sparse-regression 1 lasso-variants 1 vector-machine 1