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GitHub topics: elasticnet

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: 2 days ago - Pushed at: over 7 years ago - Stars: 10 - Forks: 3

afersantos/ejercicios-machine-learning

Proyecto académico de Machine Learning realizado con Python

Language: Jupyter Notebook - Size: 0 Bytes - Last synced at: 16 days ago - Pushed at: 16 days ago - Stars: 0 - Forks: 0

lmaowisc/wrnet

wrnet: Regularized win ratio regression through elastic net

Language: PostScript - Size: 3.47 MB - Last synced at: 20 days ago - Pushed at: 20 days ago - Stars: 0 - Forks: 0

civisanalytics/python-glmnet 📦

A python port of the glmnet package for fitting generalized linear models via penalized maximum likelihood.

Language: Python - Size: 188 KB - Last synced at: 9 days ago - Pushed at: 9 months ago - Stars: 265 - Forks: 58

Dhanush-R-git/MLoperations-project-with-mlflow

This project involves building a end to end ML to predict the quality of wine based on various chemical properties. The dataset used includes features such as acidity, sugar content, pH level, and alcohol content. The goal is to provide an accurate prediction of wine quality on a scale from 0 to 10.

Language: C - Size: 27.7 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0

SaniyaAbushakimova/Ames-Housing-Price-Prediction

Implemented regularized linear regression (Lasso, Ridge, ElasticNet) and tree-based models (Random Forest, XGBoost, CatBoost, LightGBM) to predict house prices in Ames, Iowa. The project explores feature engineering, outlier handling, and model tuning to improve predictive accuracy. Tech: Python (numpy, pandas, sklearn, catboost, os)

Language: Jupyter Notebook - Size: 0 Bytes - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

nickkunz/nestedhyperline

Nested Cross-Validation for Bayesian Optimized Linear Regularization

Language: Python - Size: 2.05 MB - Last synced at: 14 days ago - Pushed at: almost 5 years ago - Stars: 2 - Forks: 1

laura-projects-work/price-prediction

Price prediction.

Language: R - Size: 7.9 MB - Last synced at: about 1 month ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

jayanthkoushik/torch-gel

Group elastic net implementation in PyTorch.

Language: Python - Size: 196 KB - Last synced at: 4 days ago - Pushed at: over 4 years ago - Stars: 45 - Forks: 11

joviiee/ml_regression_problems

Various projects solving regression problems using machine learning.

Language: Jupyter Notebook - Size: 527 KB - Last synced at: about 2 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

CY-dev/sparseSVM

Solution Paths of Sparse Linear Support Vector Machine with Lasso or ELastic-Net Regularization

Language: C - Size: 289 KB - Last synced at: 3 days ago - Pushed at: 5 months ago - Stars: 6 - Forks: 3

shaadclt/ElasticNet-MLflow-Regression

This repository contains code for training an ElasticNet regression model using MLflow. The model predicts the quality of wine based on various features.

Language: Python - Size: 88.9 KB - Last synced at: 25 days ago - Pushed at: about 1 year ago - Stars: 2 - Forks: 0

tobias-schnabel/mc-forecasting

Code for my Master's Dissertation in the MSc Statistical Science at the University of Oxford

Language: Jupyter Notebook - Size: 47.4 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

ozerzeynep/KONTR_FIRMA_ANALIZ

Bu proje, Kontr firmasının borsa verilerini kullanarak hisse senedi fiyatlarının gelecekteki değerlerini tahmin etmeye yönelik gelişmiş makine öğrenimi modelleri içerir. Farklı algoritmalarla performans analizi yaparak yatırım kararlarını destekleyici öngörüler sağlar.

Language: Jupyter Notebook - Size: 964 KB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 1 - Forks: 0

ShahzaibWaseem/Python

Python Projects

Language: Jupyter Notebook - Size: 105 MB - Last synced at: 8 months ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

blurred-machine/HackerEarth-ML-Challenge-June-2020

HackerEarth Machine Learning Challenge to Predict the employee attrition rate in organizations. This repository contains my solution of achieving rank 300 (best 161)

Language: Jupyter Notebook - Size: 2.39 MB - Last synced at: about 2 months ago - Pushed at: almost 5 years ago - Stars: 1 - Forks: 1

phucvu-nyu/ENAR-DataFest

ENAR DataFest

Size: 41.8 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

exmnx/Class_Projects

Data Analysis Projects

Language: HTML - Size: 2.99 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

YogiOnBioinformatics/Multi-Epigenomics-ElasticNet-Ordinal-Regression

Ordinal Logistic Regression with ElasticNet Regularization using Multi-Assay Epigenomics Data from CHDI NeuroLINCS Consortium.

Language: Jupyter Notebook - Size: 153 MB - Last synced at: 12 months ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

fangvv/ElasticNetADMM

Code for paper "面向物联网隐私数据分析的分布式弹性网络回归学习算法"

Language: MATLAB - Size: 1.09 MB - Last synced at: 2 months ago - Pushed at: almost 2 years ago - Stars: 7 - Forks: 2

snoop2head/elastic-stock-prediction

📈 Stock Price Prediction using ElasticNetCV | 🥈 Dacon Top 5%

Language: Python - Size: 7.89 MB - Last synced at: about 1 year ago - Pushed at: over 3 years ago - Stars: 4 - Forks: 1

amruta33/End_to_End_Mlproject_MLflow

This project is about the prediction of red wine quality using different machine learning algorithms with MLOps and CICD pipeline.

Language: CSS - Size: 174 KB - Last synced at: 22 days ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

shubhankar90/custom-ml-implementaion

Code store for custom implementation of some machine learning algorithms from scratch.

Language: Python - Size: 11.7 KB - Last synced at: about 1 year ago - Pushed at: over 7 years ago - Stars: 1 - Forks: 0

SebastianRokholt/Soccer-Predictions

A repository containing the code for a machine learning project about predicting the outcome of soccer matches, including a simple web application built with Flask.

Language: Jupyter Notebook - Size: 1.61 MB - Last synced at: about 1 year ago - Pushed at: over 3 years ago - Stars: 4 - Forks: 1

exmnx/STA-HW

Work from various classes

Language: Jupyter Notebook - Size: 4.8 MB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

DataDrivenGit/Ames-Real-Estate

Predicting house prices

Language: Jupyter Notebook - Size: 9.77 MB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0

raghavendranhp/Predictive-Analytics-in-Automotive-Manufacturing-Testing-Time-Optimization

Explore machine learning for automotive testing optimization. Predictive analytics to reduce testing time and environmental impact.

Language: Python - Size: 12.7 KB - Last synced at: about 2 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Ali-Mahzarnia/MFSGrp

R package: Computes the solution path of the multivariate Scalar-on-Functional Elastic Net regression in serial and parallel.

Language: R - Size: 307 KB - Last synced at: about 1 year ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 1

PayThePizzo/HouseSalesPricePrediction

Prediction of Sales Prices of Houses

Language: Jupyter Notebook - Size: 55.2 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

FarhanaTeli/Factors-Influencing-US-Home-Prices

Using publicly available data for the national factors that impact supply and demand of homes in US, build a data science model to study the effect of these variables on home prices.

Language: Jupyter Notebook - Size: 4.08 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

AVISHKAR2000/MLflow

This is a project where i am learning to use MLFlow tool which is a good alternative to logging process and provides various methods and functionality which are demonstrated in this project.

Language: Python - Size: 15 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

pvpanov/enet_plus

an extension of signed sklearn.linear_model.ElasticNet

Language: Python - Size: 18.6 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

BenitaDiop/AnalysisOfCrimeInIndia

The dataset that I am performing this regression analysis on, comes from Kaggle, titled crimes In India. This dataset holds complete information about various aspects of crimes that have taken place in India in a 17 year span, from 2001 to 2018.

Language: R - Size: 1.41 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

nipun-goyal/Residential-Energy-Consumption-Prediction

Predicting the Residential Energy Usage across 113.6 million U.S. households using Machine Learning Algorithms (Regression and Ensemble)

Language: Jupyter Notebook - Size: 69.2 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

keshavbhandari/Predicting-Customer-Return

Objective: Predicting whether the customer will return or not in the next month. Techniques used: XGBoost, logistic regression, attention based LSTM neural network, self attention based transformer neural network

Language: Python - Size: 18.6 KB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 0

francescoperessini/Recommender-System-PoliMi-2019

Recommender System 2019 Challenge PoliMi

Language: Python - Size: 315 MB - Last synced at: almost 2 years ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0

isi-mube/iron-labs

A repo to store and share solved data analytics assignments and side projects.

Language: Jupyter Notebook - Size: 191 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 1

coolmunzi/webapp_mlops

This is a simple webapp for wine quality prediction and involves MLOPs including DVC for model and data tracking and Github actions for CI-Cd workflows. The app is deployed on Heroku.

Language: Python - Size: 151 KB - Last synced at: about 1 month ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 2

Katerinafomkina/House-Predicting-Advanced-Regression-Techniques

Predicting house price

Language: Jupyter Notebook - Size: 16.3 MB - Last synced at: 9 months ago - Pushed at: almost 4 years ago - Stars: 2 - Forks: 0

MHassaanButt/Antenna-design-using-ML

In this project, I applied different regression models for rmse and mae on antenna dataset for predict signal strength.

Language: Jupyter Notebook - Size: 786 KB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 7 - Forks: 2

MArya80/Student-Grading-Prediction

The dataset contains students last three year exam results combined with other data such as their sex, family size, father and mother job and some of their personal and social life properties. The goal is to train ML models to predict student performance in their last year exams.

Language: Jupyter Notebook - Size: 1.87 MB - Last synced at: almost 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

nzlul03/machine_learning_playground

my documentation to learn more about machine learning concepts

Language: Jupyter Notebook - Size: 773 KB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

simonefinelli/RedWineQuality

Predict the quality of red wines using linear models.

Language: Jupyter Notebook - Size: 86.9 KB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0

hiroyuki-kasai/SparseGDLibrary

MATLAB library of gradient descent algorithms for sparse modeling: Version 1.0.3

Language: Matlab - Size: 22.3 MB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 41 - Forks: 27

Navneet2409/bike-sharing-demand-prediction

The goal of this project is to predict the demand for Seoul's Bike Sharing Program. A dataset (8760,14) containing historical usage patterns, such as temperature, time, and other relevant data is used to build a regression model.

Language: Jupyter Notebook - Size: 20.3 MB - Last synced at: almost 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

hanfang/glmnet_py

glmnet for python

Language: Python - Size: 3.69 MB - Last synced at: about 1 month ago - Pushed at: about 8 years ago - Stars: 11 - Forks: 12

AndreaRiboni/RecSys-Polimi-2022-Challenge

Code for Recommender Systems challenge 2022/23 in Polimi

Language: HTML - Size: 34 MB - Last synced at: almost 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 1

praveen1110/Practise-Ops

Wine-Ops Official Webpage

Language: Python - Size: 146 KB - Last synced at: 2 months ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

SamueleMeta/recommender-systems

Repository for the Recommender Systems Challenge 2020/2021 @ PoliMi

Language: Python - Size: 7.25 MB - Last synced at: almost 2 years ago - Pushed at: about 4 years ago - Stars: 9 - Forks: 4

twin-ai/formula-ai-hack

Team TwinAI repo for Challenge 1 of the Oracle FormulaAI Hack 2022. Our team emerged as one of the 9 prize-winning teams and won the Newcomer Team award.

Language: Jupyter Notebook - Size: 34.2 MB - Last synced at: 8 months ago - Pushed at: almost 3 years ago - Stars: 2 - Forks: 2

arnaud-schuele/predictive-econometrics

Comparison of OLS, Ridge and elastic net estimators

Language: R - Size: 210 KB - Last synced at: almost 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

PermanAtayev/Movie-revenue-prediction

Model that uses 10 different algorithms to predict the revenue of a movie before it's release

Language: Jupyter Notebook - Size: 2.36 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 3 - Forks: 1

gabriel-solon-padilha/predicao_precoscasas_House_Prices_regression

Sétimo mini projeto de data science em que pude usar diversos modelos de regressão para prever o preço das casas a partir de um conjunto diversificado de features

Language: Jupyter Notebook - Size: 1.68 MB - Last synced at: over 1 year ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

CarlosLlano/ds4a-app

Final project for the 2019 Colombia Data Science for All (DS4A) program.

Language: Python - Size: 35.2 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 2

StivenMetaj/Recommender_Systems_Challenge_2020 Fork of SamueleMeta/recommender-systems

Repository for the Recommender Systems Challenge 2020/2021 @ PoliMi

Language: Python - Size: 7.43 MB - Last synced at: almost 2 years ago - Pushed at: about 4 years ago - Stars: 2 - Forks: 0

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

meowpunch/ConcreteDataset

analyze Concrete Dataset

Language: Jupyter Notebook - Size: 1.95 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

soumya-mishra/Housing-Price

House Price determination in Australian Market.

Language: Jupyter Notebook - Size: 18.2 MB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

hkiang01/Applied-Machine-Learning

Applied Machine Learning

Language: Python - Size: 58.8 MB - Last synced at: about 2 years ago - Pushed at: almost 9 years ago - Stars: 7 - Forks: 4

gt0410/Predicting_ViolentCrime_Data

Exploratory Data Analysis and Feature Engineering on Violent Crime dataset from Kaggle and performing regression analysis to predict the crime rate per 100k population. This project compared the performances of Linear Regression, PLS, regularized models like Ridge regression, Lasso and Elastic Net models, and SVR models.

Language: R - Size: 359 KB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 1

zayeem00/MLProject_TeessideUni

Predicting the survival rate of Lung Cancer Patients using Machine Learning

Language: Jupyter Notebook - Size: 11.6 MB - Last synced at: about 2 years ago - Pushed at: almost 6 years ago - Stars: 1 - Forks: 0

MohamedOmar2020/Elastic-Net-Regression

Creating a classifier for bladder cancer using Elastic Net Regression

Language: R - Size: 1.13 MB - Last synced at: 3 months ago - Pushed at: almost 6 years ago - Stars: 0 - Forks: 0

majacaci00/2016_boston_marathon

What factors influence runners

Language: Jupyter Notebook - Size: 10.5 MB - Last synced at: about 2 years ago - Pushed at: about 7 years ago - Stars: 0 - Forks: 0

hanfang/glmnet_python Fork of bbalasub1/glmnet_python

glmnet for python

Language: Jupyter Notebook - Size: 3.63 MB - Last synced at: about 2 years ago - Pushed at: about 8 years ago - Stars: 0 - Forks: 4

Related Keywords
elasticnet 64 lasso-regression 17 linear-regression 17 machine-learning 17 ridge-regression 17 lasso 15 python 14 random-forest 13 regression 11 xgboost 11 data-science 8 r 7 xgboost-regression 6 machine-learning-algorithms 6 logistic-regression 6 matplotlib 6 recommender-system 5 exploratory-data-analysis 5 svm 5 slim 4 mlflow 4 gridsearchcv 4 seaborn 4 bayesian-optimization 4 pandas 4 ridge 4 svr 4 gradient-boosting 4 decision-trees 4 random-forest-regression 3 regression-models 3 admm 3 jupyter-notebook 3 user-collaborative-filtering 3 python3 3 mlops 3 rp3beta 3 regularization 3 polimi 3 matrix-factorization 3 item-collaborative-filtering 3 scikit-learn 3 gradient-boosting-regressor 3 alternating-least-squares 3 glmnet 3 hybrid-recommender-system 3 data-visualization 3 cross-validation 2 numpy 2 recommender-systems 2 data 2 sklearn 2 support-vector-machines 2 pipelines 2 computational-biology 2 prediction 2 random-forest-regressor 2 principal-component-analysis 2 matrix-completion 2 adaboost 2 algorithms 2 knn-regression 2 decision-tree 2 pca 2 randomforestregressor 2 knn 2 lightgbm 2 gridsearch 2 tensorflow 2 content-based-filtering 2 glm 2 feature-engineering 2 catboost 2 data-analysis 2 support-vector-regression 2 implicit-feedbacks 2 heatmap 1 ensemble-learning 1 light-gradient-boosting-machine 1 find-undervalued-players 1 kernel-ridge 1 grading-students-solution 1 stacked-regression 1 decisiontreeregressor 1 extra-tree-regressor 1 linearregression 1 dataset 1 accuracy 1 l1-regularization 1 l2-regularization 1 women 1 lightgbm-regressor 1 sklearn-library 1 sklearn-pipeline 1 xgboost-algorithm 1 transformer-encoder 1 recommendation-system 1 jupyterlab 1 sql 1 vscode 1