regularized-linear-regression | Topic

Topic: "regularized-linear-regression"

JuliaStats/Lasso.jl

Lasso/Elastic Net linear and generalized linear models

Language: Julia - Size: 1.1 MB - Last synced at: 3 days ago - Pushed at: 9 months ago - Stars: 145 - Forks: 32

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 at: about 1 year ago - Pushed at: over 4 years ago - Stars: 13 - Forks: 1

flsing/machine-learning

Andrew Ng's Machine Learning Course

Language: Matlab - Size: 26.8 MB - Last synced at: 11 months ago - Pushed at: almost 7 years ago - Stars: 13 - Forks: 14

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 at: over 1 year ago - Pushed at: over 6 years ago - Stars: 5 - Forks: 1

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

Housing price prediction using Regularised linear regression

Language: Jupyter Notebook - Size: 57.6 KB - Last synced at: almost 2 years ago - Pushed at: over 5 years ago - Stars: 4 - Forks: 4

vrn25/Machine-Learning-Coursera

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

Language: Jupyter Notebook - Size: 21.8 MB - Last synced at: about 2 years ago - Pushed at: almost 6 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 at: over 2 years ago - Pushed at: about 6 years ago - Stars: 4 - Forks: 3

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 at: over 2 years ago - Pushed at: over 3 years ago - Stars: 3 - Forks: 3

nanxstats/logreg

Regularized logistic regressions with computational graphs

Language: R - Size: 1.11 MB - Last synced at: 2 days ago - Pushed at: over 3 years ago - Stars: 3 - Forks: 1

JuzerShakir/Linear_Regression

A Mathematical Intuition behind Linear Regression Algorithm

Size: 296 KB - Last synced at: 4 months ago - Pushed at: over 3 years ago - Stars: 3 - 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 at: about 2 years ago - Pushed at: about 6 years ago - Stars: 3 - Forks: 1

vadimtyuryaev/RegrCoeffsExplorer

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

Language: R - Size: 5.65 MB - Last synced at: about 2 months ago - Pushed at: 6 months ago - Stars: 2 - Forks: 0

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.

Language: Jupyter Notebook - Size: 604 MB - Last synced at: 3 months ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 2

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 at: almost 2 years ago - Pushed at: about 5 years ago - Stars: 2 - Forks: 0

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.

Size: 6.84 KB - Last synced at: 3 days ago - Pushed at: over 7 years ago - Stars: 2 - Forks: 1

PiotrTymoszuk/htGLMNET

High Throughput Light Weight Regularized Regression Modeling for Molecular Data

Language: R - Size: 43.4 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 1 - 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 at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

GjjvdBurg/SparseStep

SparseStep: Approximating the Counting Norm for Sparse Regularization

Language: R - Size: 85.9 KB - Last synced at: about 10 hours ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 1

AleksandraSteiner/adaslope

High dimensional linear regression with missing via adaptive SLOPE

Language: R - Size: 77.1 KB - Last synced at: over 1 year ago - Pushed at: about 5 years ago - Stars: 1 - Forks: 0

saibharath2/linear-regression

linear regression

Language: Jupyter Notebook - Size: 27.3 KB - Last synced at: 12 months ago - Pushed at: about 5 years ago - Stars: 1 - 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 at: about 2 years ago - Pushed at: over 6 years ago - Stars: 1 - Forks: 0

Bennyhwanggggg/Coursera-Machine-Learning

Course work for Machine Learning Course by Stanford University on Coursera

Language: Matlab - Size: 21 MB - Last synced at: over 2 years ago - Pushed at: over 7 years ago - Stars: 1 - Forks: 0

martn2023/training-regression-models

Introducing 4 regression models, and how to optimize via Gradient Descent

Language: Jupyter Notebook - Size: 1.24 MB - Last synced at: about 1 month ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

lourduradjou/Employee-Salary-Predictor

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

Language: Jupyter Notebook - Size: 618 KB - Last synced at: 4 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

dynamicanupam/Housing_Price_Prediction_using_Advanced_Regression

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

Language: Jupyter Notebook - Size: 5.63 MB - Last synced at: 4 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

frank01101/gradient_descent

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

Language: Python - Size: 16.6 KB - Last synced at: 11 months ago - Pushed at: 11 months 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 at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

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

Language: Jupyter Notebook - Size: 183 KB - Last synced at: about 1 year ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

PiotrTymoszuk/CovILD-IPQ

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

Language: TeX - Size: 62.7 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 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.

Language: Jupyter Notebook - Size: 2.98 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 1