regularized-linear-regression

There are 2 repositories under regularized-linear-regression topic.

JuliaStats / Lasso.jl
Lasso/Elastic Net linear and generalized linear models
lasso julia regularized-linear-regression l1
Language:Julia 141
mntabassm / SAEN-LARS
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 complex-valued-data elastic-net lasso-regression regularized-linear-regression regularization-paths solution-path sparse-reconstruction sparse-regression sparse-regularization matlab-toolbox acoustic-model compressed-beamforming direction-of-arrival source-localization
Language:MATLAB 14
flsing / machine-learning
Andrew Ng's Machine Learning Course
machine-learning neural-networks linear-regression andrew-ng coursera logistic-regression multi-class-classification bias-variance regularized-linear-regression support-vector-machines k-means-clustering anomaly-detection recommender-system principal-component-analysis
Language:MATLAB 13
regularized-linear-regression-deep-dive
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.
regularized-linear-regression lasso-regression ridge-regression elastic-net-regression coordinate-descent optimization python jupyter-notebook ordinary-least-squares regularization regression
Language:Jupyter Notebook 13
SouravG / Housing-price-prediction-using-Regularised-linear-regression
Housing price prediction using Regularised linear regression
machine-learning-algorithms gradient-descent normal-equation regularized-linear-regression housing-price-prediction
Language:Jupyter Notebook 7
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
statistical-learning upc statistics regression-models ridge-regression lasso-regression regularized-linear-regression regularization machine-learning
Language:Jupyter Notebook 5
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.
linear-regression regularized-linear-regression ridge lasso feature-engineering feature-selection kbest rfe
Language:Jupyter Notebook 5
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).
least-square-regression regularized-linear-regression lasso robust-regresssion bayesian-regression
Language:Python 5
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.
linear-regression regularized-linear-regression bias-variance learning-curve cross-validation cost-function gradient polynomial-regression regularization-methods random
Language:MATLAB 4
vrn25 / Machine-Learning-Coursera
Solutions to Coursera's Intro to Machine Learning course in python
machine-learning machine-learning-algorithms neural-networks jupyter-notebooks python-3 numpy matplotlib k-means-clustering pca-implementation data-compression support-vector-machines machine-learning-design machine-learning-curves backpropagation-learning-algorithm regularized-linear-regression regularized-logistic-regression gradient-descent-algorithm feature-normalization anomaly-detection-algorithm recommender-systems
Language:Jupyter Notebook 4
JuzerShakir / Linear_Regression
A Mathematical Intuition behind Linear Regression Algorithm
linear-regression machine-learning algorithm univariate-regressions multivariate-regression hypothesis house-price-prediction linear-equations cost-function gradient-descent mean-square-error mse partial-derivative linear-algebra vector matrices feature-scaling mean-normalization bias-variance regularized-linear-regression
3
samtwl / Machine-Learning
This repository contains several machine learning projects done in Jupyter Notebooks
python3 machine-learning regularized-linear-regression logistic-regression topic-modeling gaussian-naive-bayes-implementation multi-class-classification multivariate-linear-regression decision-tree random-forest-regression gradient-boosting-regressor extreme-gradient-boosting machine-learning-algorithms machine-learning-models jupyter-notebook
Language:Jupyter Notebook 3
Bennyhwanggggg / Coursera-Machine-Learning
Course work for Machine Learning Course by Stanford University on Coursera
anomaly-detection k-clustering linear-regression logistic-regression machine-learning machine-learning-algorithms machine-learning-coursera neural-network regularized-linear-regression
Language:Matlab 2
ibodumas / MachineAlgorithm
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 regression-models regularized-linear-regression regularized-gaussian-regression gaussian-basis-function predictive-modeling
2
nanxstats / logreg
Regularized logistic regressions with computational graphs
logistic-regression regularized-linear-regression regularization computational-graphs automatic-differentiation
Language:R 2
abvnithish / Kaggle_HousingPricePrediction
Competition: https://www.kaggle.com/c/house-prices-advanced-regression-techniques
machine-learning data-science feature-engineering ames-housing advanced-regression-techniques xgboost ensemble-machine-learning stacking bagging boosting-algorithms regularized-linear-regression
Language:Jupyter Notebook 1
AleksandraSteiner / adaslope
High dimensional linear regression with missing via adaptive SLOPE
high-dimensional-data linear-models regularized-linear-regression
Language:R 1
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.
anova-test chi2-contingency f-test polynomial-regression regression-analysis regularized-linear-regression shapiro-wilk z-test
Language:Jupyter Notebook 1
bmarroc / machine-learning
Jupyter notebooks implementing Machine Learning algorithms in Scikit-learn and Python
linear-regression logistic-regression regularized-linear-regression regularized-logistic-regression support-vector-machine kmeans-clustering principal-component-analysis anomaly-detection recommender-system
Language:Jupyter Notebook 1
emilstahl97 / Scalable-Machine-Learning-and-Deep-Learning-ID2223
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.
machine-learning-algorithms distributed-machine-learning deep-neural-networks regularized-linear-regression sequence-modeling linear-algebra
Language:Jupyter Notebook 1
GjjvdBurg / SparseStep
SparseStep: Approximating the Counting Norm for Sparse Regularization
feature-selection r sparse-regression sparse-regularization regularized-linear-regression lasso-variants
Language:R 1
PiotrTymoszuk / htGLMNET
High Throughput Light Weight Regularized Regression Modeling for Molecular Data
drug-sensitivity elastic-net-regression generalized-linear-models genetics lasso-regression machine-learning regularized-linear-regression ridge-regression transcriptomics
Language:R 1
saibharath2 / linear-regression
linear regression
supervised-learning supervised-machine-learning linear-regression linear-models regression-algorithms machine machine-learning interest-rates regularized-linear-regression regularization-methods
Language:Jupyter Notebook 1
bipin-odattil / house-pricing-regression-model
Build a regularized regression model to predict the price of houses with the available independent variables
machine-learning python regression regularized-linear-regression
Language:Jupyter Notebook 0
camythaocta / Regularized-Regression_Predicting-Housing-Price
In linear regression, regularization is a process of making the model more regular or simpler by shrinking the model coefficient to be closer to zero or absolute, ultimately to address over fitting.
data-science data-analysis regularized-linear-regression regularization-methods machine-learning mean-absolute-error mean-absolute-percentage-error root-mean-square-error
0
I-am-Vaishnavi / ML-python-Regularization-and-PCA-
Regularization, PCA and Linear Regression are implemented.
ml machine-learning machine-learning-algorithms pca python linear-regression regularization regularized-linear-regression
Language:Jupyter Notebook 0
kuntala-c / 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.
linear-regression feature-engineering ridge lasso feature-selection kbest rfe regularized-linear-regression
Language:Jupyter Notebook 0
raunaksatone5 / Bike-Sharing-Demand-Prediction
Built a regression model to predict bike demand on data from Seoul, South Korea. and employed one hot encoding to create dummy variables Benchmarked Cat Boost against Linear regression, Lasso and Ridge regression, Gradient Boost and performed feature engineering and tuned the hyperparameters for the optimum performance
catboost regression regularized-linear-regression
Language:Jupyter Notebook 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.
machine-learning regression python lasso-regression lasso neural-network multilayer-perceptron-network knn-regression knn knearest-neighbor-algorithm regularized-linear-regression prediction-model taxi-out
Language:Python 0
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.
lasso-regression linear-regression machine-learning regularized-linear-regression ridge-regression sklearn-library
Language:Jupyter Notebook
dell-datascience / mlzoomcamp
This repository is dedicated to my participation in Datatalks Mlzoomcamp
machine-learning-algorithms regression regularized-linear-regression rmse-score
Language:Jupyter Notebook
dynamicanupam / House-Price-Prediction
Advanced regression model to predict housing price for an use case in Australia.
lasso-regression linear-regression machine-learning regularized-linear-regression ridge-regression sklearn-library
Language:Jupyter Notebook
fauziah61 / Housing-Price-Prediction-using-Regularized-Linear-Regression
machine-learning python regularized-linear-regression
Language:Jupyter Notebook
PatitapabanPattnaik / Advanced-Regression_Predict_-HousePrices
Advanced Regression Predict_ House Prices
python data-science regression-models machine-learning regularized-linear-regression hyperparameter-optimization ridge-regression lasso-regression
Language:Jupyter Notebook
PiotrTymoszuk / CovILD-IPQ
Analysis pipeline for modeling of illness perception one year after COVID-19
clustering covid-19 mental-health regularized-linear-regression illness-perception persistent-symptoms
Language:TeX
vadimtyuryaev / RegrCoeffsExplorer
A tool for visualizing the coefficients of various regression models, taking into account empirical data distributions.
coefficients-of-linear-regression glm glmnet lasso-regression lm regression-analysis regularized-linear-regression regularized-logistic-regression rpackage statistics-for-data-science selectiveinference confidence-intervals visualization postselectioninference empirical-data
Language:R

regularized-linear-regression

JuliaStats / Lasso.jl

mntabassm / SAEN-LARS

flsing / machine-learning

wyattowalsh / regularized-linear-regression-deep-dive

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

ankitbit / Statistical_Learning_Theory

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

vincent27hugh / myRegression-Python

kk289 / ML-Regularized_Linear_Regression-Bias_Variance-MATLAB

vrn25 / Machine-Learning-Coursera

JuzerShakir / Linear_Regression

samtwl / Machine-Learning

Bennyhwanggggg / Coursera-Machine-Learning

ibodumas / MachineAlgorithm

nanxstats / logreg

abvnithish / Kaggle_HousingPricePrediction

AleksandraSteiner / adaslope

astonglen / Statistical-Methods-Project

bmarroc / machine-learning

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

GjjvdBurg / SparseStep

PiotrTymoszuk / htGLMNET

saibharath2 / linear-regression

bipin-odattil / house-pricing-regression-model

camythaocta / Regularized-Regression_Predicting-Housing-Price

I-am-Vaishnavi / ML-python-Regularization-and-PCA-

kuntala-c / Automobile-Price-Prediction-using-Linear-Regression

raunaksatone5 / Bike-Sharing-Demand-Prediction

tobiapoppi / flight-taxi-out-prediction-ML

abhijit12banerjee / HousePricePrediction_AdvancedRegression

dell-datascience / mlzoomcamp

dynamicanupam / House-Price-Prediction

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

PatitapabanPattnaik / Advanced-Regression_Predict_-HousePrices

PiotrTymoszuk / CovILD-IPQ

vadimtyuryaev / RegrCoeffsExplorer