regularized-linear-regression

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.

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

Housing price prediction using Regularised linear regression

flsing/machine-learning

Andrew Ng's Machine Learning Course

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.

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

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).

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.

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.

JuzerShakir/Linear_Regression

A Mathematical Intuition behind Linear Regression Algorithm

nanxstats/logreg

Regularized logistic regressions with computational graphs

samtwl/Machine-Learning

This repository contains several machine learning projects done in Jupyter Notebooks

vrn25/Machine-Learning-Coursera

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

Bennyhwanggggg/Coursera-Machine-Learning

Course work for Machine Learning Course by Stanford University on Coursera

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.

abvnithish/Kaggle_HousingPricePrediction

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

AleksandraSteiner/adaslope

High dimensional linear regression with missing via adaptive SLOPE

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.

bmarroc/machine-learning

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

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.

GjjvdBurg/SparseStep

SparseStep: Approximating the Counting Norm for Sparse Regularization

PiotrTymoszuk/htGLMNET

High Throughput Light Weight Regularized Regression Modeling for Molecular Data

saibharath2/linear-regression

linear regression

vadimtyuryaev/RegrCoeffsExplorer

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

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.

bipin-odattil/house-pricing-regression-model

Build a regularized regression model to predict the price of houses with the available independent variables

dynamicanupam/Housing_Price_Prediction_using_Advanced_Regression

Build a regularized regression model to understand the most important variables to predict housing prices.

emilyksanders/Ames_housing_modeling

A project using the Ames Housing dataset to predict home prices based on their characteristics.

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

frank01101/gradient_descent

Gradient descent algorithm from scratch for linear and logistic regression with feature scaling and regularization.

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.

lourduradjou/Employee-Salary-Predictor

A Linear Regression ML Model which gives employee salary based on their years of experience

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

dell-datascience/mlzoomcamp

This repository is dedicated to my participation in Datatalks Mlzoomcamp

PiotrTymoszuk/CovILD-IPQ

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

srosalino/Linear_Regression_Study

Deep Study of the Linear Regression Machine Learning Model, including its Regularization Techniques