Topic: "elasticnet-regression"
tsitsimis/constrainedlr
Drop-in replacement of sklearn's Linear Regression with coefficients constraints
Language: Python - Size: 637 KB - Last synced at: 12 days ago - Pushed at: about 1 year ago - Stars: 7 - Forks: 0
3zhang/Python-Lasso-ElasticNet-Ridge-Regression-with-Customized-Penalties
An extension of sklearn's Lasso/ElasticNet/Ridge model to allow users to customize the penalties of different covariates. Works similar to penalty.factor parameter in R's glmnet.
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yasarigno/Predictions_on_Energy_Consumption_in_Seattle
Prediction on energy consumptions of the city of Seattle in order to reach its goal of being a carbon neutral city in 2050.
Language: Jupyter Notebook - Size: 7.06 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 3 - Forks: 0
MAHMOUD2ABDALLAH/Bike-Sales
It was a competition on KAGGLE for prediction on the most sales products on bikes via their features
Language: Python - Size: 358 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 2 - Forks: 0
connect-midhunr/rossmann-sales-prediction
Machine learning model to forecast the sales of each Rossmann store for any given date.
Language: Jupyter Notebook - Size: 103 MB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 2 - Forks: 1
abiasiol/VolleyballML
Machine learning applications in volleyball (python, scikit-learn)
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mayank0rastogi/MACHINE-LEARNING-ALGORITHMS
This Repository Contains Different Machine Learning and Important Concepts
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Tynab/Machine-Learning-Overview
CyberSoft Machine Learning 03 - Overview
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Silvano315/Prediction-model-for-a-real-estate-market
This repository is the third project of the master's degree in AI Engineering that I am following. It aims toto optimize real estate price valuation through the use of advanced regularisation techniques in linear regression models by implementing Lasso, Ridge and Elastic Net in order to obtain accurate and stable price predictions.
Language: Jupyter Notebook - Size: 3.67 MB - Last synced at: 3 months ago - Pushed at: 9 months ago - Stars: 1 - Forks: 0
eeshwarib23/Airbnb-regression-analysis
ML | Regression Analysis| Random Forest| XGBoost| Gradient Boost| EDA| Feature Engineering| Feature selection
Size: 4.27 MB - Last synced at: 10 months ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0
MalikHebbat/Thesis---Code
Code for Master Thesis
Language: R - Size: 5.19 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0
ayyucedemirbas/Solar_Power_ElasticNet
ElasticNet Linear Regression on Solar Power Generation
Language: Jupyter Notebook - Size: 753 KB - Last synced at: 10 days ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0
MathCortes/Projeto9-BostonHousing-ML_Regression
Nesse trabalho vou explorar uma conhecida base, boston dataset. Nela encontramos informações sobre algumas características de casas. Queremos estudar o comportamento dos preços desses imóveis para futuramente conseguirmos prever seus preços
Language: Jupyter Notebook - Size: 2.22 MB - Last synced at: over 1 year ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 0
Anubasam13/Compassionate-Decision-Support-for-Patients-Families-Choosing-Post-Acute-Care-Services-
Data-driven tool using CMS Medicare data, Python, R, PCA, regression, and EDA to identify key cost, quality, and access factors influencing post-acute care (PAC) payments. Supports informed decisions for patients and families choosing PAC services.
Language: Jupyter Notebook - Size: 3.25 MB - Last synced at: 21 days ago - Pushed at: 21 days ago - Stars: 0 - Forks: 0
MariiaSam/Rent-in-Brazil
Language: Jupyter Notebook - Size: 96.1 MB - Last synced at: 9 days ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0
the-bipu/algerian-fire-prediction
Algerian fire prediction with Linear Regression
Language: Jupyter Notebook - Size: 237 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
Trigenaris/Baseball-Player-Salary-Prediction-with-Ridge-Lasso-and-ElasticNet
In this section, we will go through the Hitters dataset as firstly analyzing the data, then preprocessing it and lastly creating 3 different models which are Ridge Regression, Lasso Regression and ElasticNet Regression
Language: Jupyter Notebook - Size: 793 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0
KasiMuthuveerappan/IVY_League-Admission-LinearRegression
📗 This repository provides an in-depth exploration of the predictive linear regression model tailored for Jamboree Institute students' data, with the goal of assisting their admission to international colleges. The analysis encompasses the application of Ridge, Lasso, and ElasticNet regressions to enhance predictive accuracy and robustness.
Language: Jupyter Notebook - Size: 11.7 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0
ligerber/epiclock
epigenetic clock calibration
Language: R - Size: 18.6 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0
yyigitturan/Baseball-Players-Salary-Prediction
This project develops a machine learning model to predict the salaries of baseball players based on their past performance.
Language: Python - Size: 803 KB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0
itzKshitijaC/Algerian-Forest-Fire-Prediction
In this project I built machine learning models using Multiple Linear Regression, Ridge regression, Lasso regression, Elasticnet regression and then created a pickle file of the regression model which gave best accuracy
Language: Python - Size: 225 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
RajKulk16/CLTV-Compass
The main objective of this project is to forecast the Customer Lifetime Value (CLTV) using user and policy data.
Language: Python - Size: 158 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
Matcar02/BrazilianBestRents
The repository contains some of the work done by me and 4 colleagues for a university project of the "data analysis for business" class. The project aims at identifying the best deals and strategies to take by rental agencies to maximise profits in the Brazilian House Market. On the other hand, We also analyzed good deals for mid-income households.
Language: R - Size: 1.14 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
rajesvariparasa/ml-processing-pipeline-for-predicting-houseprices
This repository contains an ML workflow to predict house prices in Ames, Iowa. This project work is carried out under the Machine Learning module of the GeoDSc track of the Copernicus Master in Digital Earth.
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niloycste/Wine-Quality-Check-using-ML-Mlflow-DVC
I constructed a machine learning model to predict the quality of wine
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aliakseibrown/wine-quality-prediction
End-to-end linear regression project with MLflow tracking
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sai-manas/Diamond_Price_Prediction
Diamond Price Predictor - Web Application: Predict diamond prices using various regression models: Linear Regression, Lasso, Ridge, ElasticNet, Decision Tree Regressor, Random Forest Regressor, and KNeighbors Regressor. The chosen Random Forest Regressor, with a remarkable accuracy of 97%, is deployed in a user-friendly Flask app
Language: Jupyter Notebook - Size: 5.54 MB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 1
sonwaneshivani/Fire-Weather-Index-Prediction
ML Regression application built using Flask
Language: Jupyter Notebook - Size: 2.34 MB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
natmurad/regularization
Regularization methods on R
Language: R - Size: 4.88 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
Mohshaikh23/Wine-Quality-Prediction-using-MLFlow
Wine Quality Prediction using ElasticNet Regression using MLFlows
Language: CSS - Size: 5.98 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
akeelrashid/ML-Retail-Sales-Prediction-Project-
Revolutionize sales forecasting for Rossmann stores with our high-accuracy XGBoost model, leveraging data analysis, feature engineering, and machine learning to predict sales up to six weeks in advance.
Language: Jupyter Notebook - Size: 31.5 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0
Preetirai-tech/Bike-Sharing-Demand-Prediction
This project aims to develop a machine learning model to predict bike-sharing demand based on various factors such as weather conditions, time of day, and historical usage patterns. The dataset used for this project consists of 8760 records and 14 attributes.
Language: Jupyter Notebook - Size: 289 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0
Saurav0129/Steel-Industry-Energy-Consumption-Prediction
The dataset used for this project is taken from the official UCI Machine Learning Repository.
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muskan-setiya/solar-energy-efficiency
Language: Jupyter Notebook - Size: 8.16 MB - Last synced at: 3 months ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0
Rajarshi1001/CS771
Assignment submissions for the course CS771A "Introduction to Machine Learning" at IIT-K in 2022-23 II Sem.
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sainikhilp/Ames_Housing_SalePrice_Prediction
This project aims at predicting the sale price of the Ames_Housing raw data. The final model was developed using ElasticNet regression and GridSearch approach
Language: Jupyter Notebook - Size: 865 KB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0
PiotrTymoszuk/PAH-biomarker
Analysis pipeline for the PAH biomarker study by Sonnweber T et al.
Language: TeX - Size: 30.2 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0
karolinaszczesna/IMDB-reviews-text-categorization
IMDB Reviews Text Categorization Using Machine Learning Classifiers (Logistic Regression, Ridge Regression, Lasso Regression, Elastic Net Regression, KNN)
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lorenzoridolfi9/EPS-Index
EPS forecast with Lasso, Elastic Net and multiple linear regression
Language: Jupyter Notebook - Size: 10 MB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0
pstat197/vignette-regression
Penalized linear regression modeling in R and application to life expectancy data
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jaiminjariwala/Linear_Regression_Project_Using_ElasticNet_N_GridSearchCV_-House_Price_Prediction-
Linear Regression Project from Udemy course 2022 Python for Machine Learning and Data Science Masterclass
Language: Jupyter Notebook - Size: 326 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0
iamnancysoni/Linear-Regression-on-Algerian-Forest-Fire-Temperature-Prediction.
Practical Implementation of Linear Regression on Algerian Forest Fire Dataset.
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iamnancysoni/Linear-Regression-on-Boston-Housing-Price-Prediction
Practical Implementation of Linear Regression on Boston Housing Price Prediction
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parulsharma098/Seoul-Bike-Sharing-Demand-Prediction
This project is about a Bike Rental facility located in South Korea, We built different regression models in order to predict the future demand for the rental bikes depending upon the other conditional and non-conditional features in the dataset.
Language: Jupyter Notebook - Size: 11.5 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0
blitzapurv/house-price-prediction-ridge-lasso-elasticnet
House Price Prediction
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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
Lalalmada/Regressao_Algoritmos_de_Otimizacao
Algoritmos de regressão na linguagem python utilizando bibliotecas como sklearn e pandas.
Language: Python - Size: 3.91 KB - Last synced at: about 1 year ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0
prabhatk579/machine-learning-algorithms-archive
Implementation of different types of machine learning algorithm and there performance comparison on a same dataset
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