elasticnet-regression

There are 59 repositories under elasticnet-regression topic.

  • solar-energy-efficiency

    Language:Jupyter Notebook

  • epiclock

    epigenetic clock calibration

    Language:R

  • ML

    Progetto: Machine Learning

    Language:Jupyter Notebook

  • 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

  • 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

  • ElasticNet_Regression

    This model trains according to the data and makes a Polynomial Regression curve of degree 16. The model is regularized using ElasticNet regression of l1_ratio 0.5. It also compares the predicted values with original outputs and for different alphas.

    Language:Python

  • 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

  • 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

  • USA-Housing-Price-Prediction

    In this project I have implemented 15 different types of regression algorithms including Linear Regression, KNN Regressor, Decision Tree Regressor, RandomForest Regressor, XGBoost, CatBoost., LightGBM, etc. Along with it I have also performed Hyper Paramter Optimization & Cross Validation.

    Language:Jupyter Notebook

  • Yes-Bank-Stock-Closing-Price-Predication-by-Regression

    This GitHub repository hosts the code and resources for predicting the closing prices of Yes Bank stock. Stock price prediction is a crucial task in the financial world, as accurate forecasts can assist investors and traders in making informed decisions.

    Language:Jupyter Notebook

  • IMDB-reviews-text-categorization

    IMDB Reviews Text Categorization Using Machine Learning Classifiers (Logistic Regression, Ridge Regression, Lasso Regression, Elastic Net Regression, KNN)

    Language:Jupyter Notebook

  • CS771A

    Assignment submissions for the course CS771A "Introduction to Machine Learning" at IIT-K in 2022-23 II Sem.

    Language:Jupyter Notebook

  • EPS-Index

    EPS forecast with Lasso, Elastic Net and multiple linear regression

    Language:Jupyter Notebook

  • vignette-regression

    Penalized linear regression modeling in R and application to life expectancy data

    Language:HTML

  • OCP4-Machine-learning-to-predict-energy-consumption

    Machine learning regression model to predict energy consumption and GHG emission

    Language:Jupyter Notebook

  • 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

  • Seoul-Bike-Sharing-Demand-Prediction

    Seoul bike sharing demand prediction is a project that uses machine learning to predict the demand for rental bikes in Seoul, South Korea. The project aims to provide insights for the city's bike-sharing system to better manage the supply of bikes and ensure their availability to the public at the right time.

    Language:Jupyter Notebook

  • house-price-prediction-ridge-lasso-elasticnet

    House Price Prediction

    Language:Jupyter Notebook

  • Seoul-Bike-Sharing-Demand-Prediction

    Seoul bike sharing demand prediction is a project that uses machine learning to predict the demand for rental bikes in Seoul, South Korea. The project aims to provide insights for the city's bike-sharing system to better manage the supply of bikes and ensure their availability to the public at the right time.

    Language:Jupyter Notebook

  • Generosity

    Regression models determining the socioeconomic factors impacting "Generosity" within a given country

    Language:Jupyter Notebook

  • Grocery-Store-Price-Prediction

    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

    Language:Jupyter Notebook

  • Regressao_Algoritmos_de_Otimizacao

    Algoritmos de regressão na linguagem python utilizando bibliotecas como sklearn e pandas.

    Language:Python

  • machine-learning-algorithms-archive

    Implementation of different types of machine learning algorithm and there performance comparison on a same dataset

    Language:Jupyter Notebook