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GitHub topics: ridge

OneDividedByX/Linear-Regression-Tests

Tests related to linear regression

Language: Jupyter Notebook - Size: 1.92 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 0

multifunkim/best-brainstorm

The Brain Entropy in space and time (BEst) plug-in in the Brainstorm software

Language: MATLAB - Size: 508 KB - Last synced at: 15 days ago - Pushed at: 15 days ago - Stars: 4 - Forks: 7

Quantco/glum

High performance Python GLMs with all the features!

Language: Python - Size: 30 MB - Last synced at: 14 days ago - Pushed at: 16 days ago - Stars: 334 - Forks: 28

joeyism/nnnba

Analysis of NBA player stats and salaries of the 2016-17 for the 17-18 season

Language: Python - Size: 51.4 MB - Last synced at: about 1 month ago - Pushed at: almost 8 years ago - Stars: 10 - Forks: 3

afersantos/ejercicios-machine-learning

Proyecto académico de Machine Learning realizado con Python

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Soumyapro/Laptop-Price-Predictor

This project aims to predict the price of laptops based on their technical specifications using various machine learning models. The dataset includes attributes like brand, processor, RAM, memory type, GPU, screen size, and operating system.

Language: Jupyter Notebook - Size: 610 KB - Last synced at: 12 days ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

EdwinKipruto/shrinkage

Post-estimation Shrinkage in Full and Selected Linear Regression Models in Low-Dimensional Data Revisited

Language: R - Size: 420 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

Mohssin2003/nnn

A versatile command-line based file manager with a simple and efficient interface. Supports keyboard shortcuts, customizable layouts, and various plugins for enhanced functionality.

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Y-R-A-V-R-5/House-Price-Prediction

House Price Prediction Using Machine Learning: A project using Linear Regression, Ridge Regression, Decision Tree, and Gradient Boosting models to predict property values based on key features. Includes EDA, data preprocessing, and performance comparison. **Skills:** Python, Machine Learning, Data Analysis, Regression Models, EDA

Language: Jupyter Notebook - Size: 8.1 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

garfsters/Real-Estate-Price-Prediction

Using OLS regression (and Ridge and Lasso to compare), we worked on a project that uses a dataset to predict housing prices based on user inputs on house details.

Language: Python - Size: 252 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

statalasso/lassopack

LASSOPACK: Stata module for lasso, square-root lasso, elastic net, ridge, adaptive lasso estimation and cross-validation

Language: Stata - Size: 2.9 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 5 - Forks: 3

leondmtrv/House-Prediction

This project predicts house prices in Bengaluru, India, using machine learning models like Ridge Regression. It includes data preprocessing, model training, evaluation, and fine-tuning, providing a complete approach to building effective regression models for real estate prediction.

Language: Jupyter Notebook - Size: 123 MB - Last synced at: 9 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

codevibess/parallel-stacking-classifier

Stacking Classifier with parallel computing architecture based on Message Passing Interface.

Language: Python - Size: 132 MB - Last synced at: 6 months ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0

Niru8449/SuccessSage

Developed student performance predicting model, showing strong understanding of predictive modeling techniques.

Language: Jupyter Notebook - Size: 1.09 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

Ashutosh27ind/regressionAssignmentPredictingCO2Emissions

Predicting CO2 Emissions Using Other Variables (for a given year)

Language: Jupyter Notebook - Size: 411 KB - Last synced at: about 1 year ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 0

Ashutosh27ind/advancedRegressionAssignment

Surprise Housing House Price Prediction

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sabitendu/Capstone-Project-On-Appliance_Energy_Prediction

Using Machine Learning Regression Algorithms, Predicting the Energy Used by the Appliance.

Language: Jupyter Notebook - Size: 135 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

jacopofar/ridger

Make a ridge (joygram) image

Language: Python - Size: 24.4 KB - Last synced at: 9 days ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

lamia-datalover/Machine_Learning_exercises-

This repository contains machine learning projects. The code for each project is provided, and the explanations can be found in the ReadMe.md file of each project !

Language: Jupyter Notebook - Size: 14.3 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

DataDrivenGit/Ames-Real-Estate

Predicting house prices

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sorny/heightmap_lines

Processing sketch to draw a heightmap in lines + controls to interact with the variables

Language: Processing - Size: 639 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

brauliotegui/DEMAND

An interactive dashboard based on a Linear Regression model predicting demand for bike rentals in Washington, D.C.

Language: Jupyter Notebook - Size: 6.86 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

AgarwalKritik/Airline-Fare-Prediction

Airline Fare Prediction using Regression

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MGallow/statr

Personal R Package

Language: R - Size: 3.32 MB - Last synced at: over 1 year ago - Pushed at: almost 7 years ago - Stars: 0 - Forks: 0

MGallow/Omega

Penalized precision matrix estimation

Language: R - Size: 5.99 MB - Last synced at: over 1 year ago - Pushed at: almost 7 years ago - Stars: 0 - Forks: 0

albertobas/ames-housing-prices

Exploratory data analysis and supervised learning analysis on the Ames Housing Prices dataset.

Language: Jupyter Notebook - Size: 10.7 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

fatih-ml/co2-emission-prediction

Predicting CO2 emissions from cars using data-driven insights! This project dives into the world of linear regression, regularization techniques, and feature selection. 🌿 Join the journey to make cars more eco-friendly and contribute to a cleaner environment. 🌎✨

Language: Jupyter Notebook - Size: 3.64 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 2

MarkVoitov/usd_rates_prediction

Построение различных моделей линейной регрессии для предсказания курса доллара

Language: Jupyter Notebook - Size: 279 KB - Last synced at: 9 days ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 1

pgrondein/GHG_emission_prediction

Consumption and emissions prediction from non-residential buildings in Seattle.

Language: Jupyter Notebook - Size: 5.72 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

domingosdeeulariadumba/superstore-sales_clusterprediction

Superstore clusters prediction with Lasso and Ridge

Language: Python - Size: 194 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

jcrichard/firls

Norm Constrained Generalised Linear Model using numpy, numba and scipy.

Language: Python - Size: 461 KB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 2 - Forks: 1

mmarouen/linear-Models-Regression

R packages which implements most known linear regression model: pls, OLS, ridge, lasso, LAR, principal components regression...

Language: R - Size: 37.1 KB - Last synced at: over 1 year ago - Pushed at: almost 8 years ago - Stars: 1 - Forks: 1

malikamohan01/significant-police-factors-r

Over the past months, we have seen a significant racial justice reckoning happening across the country since the killing of George Floyd by a police officer in May 2020. This incident sparked a redirection of attention to similar lives that had been lost at the hands of officers, leading to calls for re-evaluation of the role and power that police hold. In order for stakeholders like activism groups and local policymakers to make the most change in the quickest and most effective manner in response to these calls, the data code and report strived to answer a questions that will enable this. The primary tool used was R, with ggplot and machine learning packages.

Size: 5.86 KB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 1

bgallamoza/MAL_Rating_Regression

Creating and testing Lasso, Ridge, Random Forest, and Gradient Boosting Regression models to predict user rating scores on MyAnimeList

Language: Jupyter Notebook - Size: 25.3 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

Himanshuachwaan/Diamonds

Diamonds Price prediction using Polars and Ski-learn

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Denis-Mukhanov/Chicago_taxi_trips_BigData

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

Yoseph10/Machine_Learning_R

This repository shows some coding in R my colleagues and I made for our Machine Learning course for the Diploma of Specialization in Data Science for Social Sciences and Public Management - PUCP

Size: 1.6 MB - Last synced at: almost 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

nihar-max/ipl_first_innings_Score_prediction

We have to determine the live first innings Score / projected score based on input features such as (overs bowled till now, runs, wickets, runs in previous 5 overs, wickets in previous 5 overs) and also based on their previous Stats / records/ performance throughout the IPL (i.e. 2008 - 2017)

Language: Jupyter Notebook - Size: 16.6 MB - Last synced at: almost 2 years ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0

guhjy/genridge Fork of friendly/genridge

Generalized Ridge Trace Plots for Ridge Regression

Language: R - Size: 91.8 KB - Last synced at: almost 2 years ago - Pushed at: over 7 years ago - Stars: 0 - Forks: 0

zehan-alam/Regression--Car-Price-Prediction

Regression Analysis to predict car selling price with given datasets. Used libraries: Pandas, Matplotlib, Seaborn, Scikitlearn

Language: Jupyter Notebook - Size: 39.1 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

anselmeamekoe/Approximate_Leave_One_Out

Size: 2.83 MB - Last synced at: almost 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

cperales/pyridge

Supervised Ridge classification. Machine learning algorithms applied to classification machine learning problems

Language: Python - Size: 7.38 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 11 - Forks: 4

beastkp/SemperFi_Datahack

A Streamlit based application for Price prediction and damage detection of secondhand cars

Language: Jupyter Notebook - Size: 52.2 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

smm1999/TFM

This repository serves as a platform to upload new code updates for my Master's Thesis (TFM), focused on the utilization of both supervised and unsupervised models on a dataset extracted from Spotify. It also includes a small fragment of my thesis. For more information, please contact me at:

Language: Jupyter Notebook - Size: 14.7 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

EmilienN/Data-Science-Portfolio

Language: Jupyter Notebook - Size: 54.9 MB - Last synced at: 7 months ago - Pushed at: about 5 years ago - Stars: 9 - Forks: 3

iAmKankan/Regularization

Tutorial to handle Overfitting-Underfitting

Size: 488 KB - Last synced at: 2 months ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0

sidharth178/House-Prices-Advanced-Regression-Techniques

The objective of the project is to perform advance regression techniques to predict the house price in Boston.

Language: Jupyter Notebook - Size: 6.78 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 9 - Forks: 2

UtkarshKharche29/Youtube-Adview-Prediction

I worked on this Live project while working as a Machine Learning Intern at Internship Studio that was offered by National Engineering Olympiad 5.0

Language: HTML - Size: 978 KB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 4 - Forks: 0

zeeshanmulla/AirQuality-Index-Project

A Project on prediction of Air Quality index from Data Collection, Data Pre-processing and applying Machine Learning Algorithms- Linear, Ridge and Lasso, Decision Tree, Random Forest, KNN, XGBoost...... AND applied TPOT just to see it work. *_*

Language: Jupyter Notebook - Size: 6.64 MB - Last synced at: about 1 year ago - Pushed at: over 5 years ago - Stars: 1 - Forks: 1

atsukoba/NPB-baseball-stats-R 📦

Baseball team data (1950~2017, 2 leagues) analysis via R as an assignment of stats lecture at univ.

Language: R - Size: 1.43 MB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 0 - Forks: 0

Bushite/Smooth-Feature-Lines-Extraction

This is the final project for the course CSCI-GA-3033-018 Geometric Modeling at NYU

Language: C++ - Size: 8.21 MB - Last synced at: over 2 years ago - Pushed at: about 7 years ago - Stars: 11 - Forks: 3

archowdhury/Comparing-the-different-types-of-Regression

Comparing the different types of Regression

Language: R - Size: 1.95 KB - Last synced at: almost 2 years ago - Pushed at: over 7 years ago - Stars: 1 - Forks: 0

sidharth178/Youtube-Adview-Prediction

A Machine Learning project for Machine Learning Internship offered by InternshipStudio.

Language: HTML - Size: 1.72 MB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 10 - Forks: 5

solivr/frangi_filter

Compute the likeliness of an image region to vessels or ridges

Language: Python - Size: 6.84 KB - Last synced at: over 2 years ago - Pushed at: almost 8 years ago - Stars: 13 - Forks: 5

MGallow/ADMMsigma

Penalized precision matrix estimation via ADMM

Language: R - Size: 18.1 MB - Last synced at: 2 months ago - Pushed at: almost 7 years ago - Stars: 4 - Forks: 2

ToshihiroIguchi/elasticnet

Elastic Net, Lasso and Ridge models can be analyzed by the formula format.

Language: R - Size: 29.3 KB - Last synced at: about 1 month ago - Pushed at: almost 7 years ago - Stars: 1 - Forks: 1

pacifikus/latency_prediction

Prediction of CNN inference time

Language: Python - Size: 46.9 KB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

Anas436/House-Sale-Prices-Prediction-Using-Python

Language: Jupyter Notebook - Size: 1.02 MB - Last synced at: 2 months ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

Anas436/Cars-Price-Pediction-Evaluation-and-Refinement-Using-Python

Language: Jupyter Notebook - Size: 207 KB - Last synced at: 2 months ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

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

AGoyal0512/Grocery-Store-Price-Prediction Fork of samika2000/data_challenge_2021

This project was our submission for the Data Challenge by the Undergraduate Statistics Club @ UW-Madison where we explore regularized least square regression models like the Lasso and Ridge along with ElasticNet for Price Prediction in a Grocery Store

Size: 3.12 MB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

hugke729/RidgeTrappedWave

Python code to calculate properties of a Kelvin wave trapped at a ridge

Language: Python - Size: 260 KB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 2 - Forks: 1

mlesnoff/rnirs

R Package not developed anymore (only maintenance). Replaced by package rchemo

Language: R - Size: 17.5 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 10 - Forks: 0

gokcesucu/Machine-Learning-Lab-1

Hello! All codes belong to me. I created those codes for my Machine Learning Lab Class. Enjoy it!

Language: Jupyter Notebook - Size: 6.09 MB - Last synced at: 3 months ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

lynda-trad/Weather-Forecast

Regression & Classification Machine Learning Models predict the weather

Language: Jupyter Notebook - Size: 301 KB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

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 at: about 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

steve303/stat542code2-RegularizationMethods

Objectives: 1) Implement coordinate descent algorithm for lasso penalization using R, 2) Document performance differences between lasso and ridge penalization when performing regression on a reference data set versus reference data with added spurious predictors

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MohammedAHO/youtube-regression-project Fork of Fatima-jawad/youtube-regression-project

A Study of the Effect of YouTube Tech Channels on the Revenue of Newly Released Devices

Language: Jupyter Notebook - Size: 1.84 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 0

elaird6/rfml_localization_python

application of machine learning to indoor localization of RF sources

Language: Jupyter Notebook - Size: 1.47 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

hebaabdelwhab/MobileStoreApp

Language: Python - Size: 15.2 MB - Last synced at: over 2 years ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0

AnFrBo/suicidal_actions

Analysis of Influencing Factors Leading to Suicidal Actions via Linear Regression and Regularization Methods

Language: R - Size: 2.22 MB - Last synced at: 23 days ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0

cordero-c-perez/Stats

A repository created to explore and understand Statistics through coding.

Language: R - Size: 1.73 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

jchiquet/CourseRegLinearRegression

Matériel de cours d'introduction à la régression linéaire régularisée

Language: TeX - Size: 11.2 MB - Last synced at: 2 months ago - Pushed at: over 6 years ago - Stars: 1 - Forks: 1

jaeho3690/LinearRegressions

This is the python implementation of linear regressions. The repo consists of ordinary linear regression, lasso linear regression, ridge linear regression

Language: Jupyter Notebook - Size: 1010 KB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

yvetteyyuan/ML-regression-mealkit-DTC

Develop a predictive model to understand the LTV of each customer for a DTC meal-kit business.

Language: Jupyter Notebook - Size: 1.13 MB - Last synced at: 6 months ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 0

ghurault/regularisation

Case study on regularisation methods for statistics and machine learning

Language: R - Size: 1.25 MB - Last synced at: 7 days ago - Pushed at: almost 6 years ago - Stars: 0 - Forks: 0

knchanu/natural-disaster-tweet-prediction

Goal of this project was to classify whether a tweet was about a natural disaster or not.

Size: 2.54 MB - Last synced at: about 2 months ago - Pushed at: about 5 years ago - Stars: 1 - Forks: 0

Bsingstad/FYS-STK4155-Project-1

In this project we will use different regression methods and resampling techniques. We will fit polynomials to a specific two-dimensional function called Franke's function

Language: Jupyter Notebook - Size: 873 KB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0

joeyism/nnnba_website

A wrapper site for NNNBA

Language: JavaScript - Size: 31.5 MB - Last synced at: 10 days ago - Pushed at: almost 8 years ago - Stars: 2 - Forks: 1

Related Keywords
ridge 79 lasso 51 linear-regression 23 machine-learning 22 regression 17 random-forest 13 logistic-regression 10 xgboost 10 python 9 lasso-regression 8 data-science 8 elastic-net 7 gradient-boosting 7 matplotlib 6 knn 6 ols 5 r 5 seaborn 5 svm 5 python3 5 pandas 5 decision-trees 4 jupyter-notebook 4 lgbm 4 glmnet 4 sklearn 4 elasticnet 4 linear 4 optuna 4 regularization 4 kernel-ridge 3 feature-selection 3 classification 3 decision-tree 3 ridge-regression 3 regression-models 3 randomforestregressor 3 stackingregressor 3 stacking 3 numpy 3 adaboost 3 feature-engineering 3 learning 3 machine 3 nba 3 glm 2 machine-learning-algorithms 2 random-forest-regressor 2 house-price-prediction 2 rfe 2 model-selection 2 prediction 2 kneighborsregressor 2 exploratory-data-analysis 2 regression-analysis 2 precision-matrix 2 glasso 2 covariance-matrix 2 cross-validation 2 polynomial-features 2 supervised-learning 2 scikitlearn 2 bagging 2 nba-visualization 2 svr 2 kbest 2 data-visualization 2 gridsearchcv 2 linear-regression-models 2 decisiontreeregressor 2 nba-prediction 2 nba-players 2 nba-analytics 2 eda 2 pcr 2 regularized-linear-regression 2 voting 2 decision-tree-classifier 2 linear-models 1 critical-latitude 1 tukey-hsd 1 sklearn-pipeline 1 standardscaler 1 coastal-trapped-wave 1 chapman 1 baroclinic 1 elasticnet-regression 1 cross-validation-score 1 ibm-watson 1 tqdm 1 pytorch 1 machine-learning-supervised 1 lstm-neural-networks 1 k-means-clustering 1 deep-learning 1 dbscan-clustering 1 bokeh-map 1 unsupervised-learning 1 spotify 1 ridge-classifier 1