elastic-net-regression

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rivas-lab /snpnet

Star20

snpnet - Efficient Lasso Solver for Large-scale genetic variant data

genetics linear-regression statistical-learning prediction lasso sparse survival-analysis cox-regression biobank ukbiobank elastic-net-regression snpnet-cox

UpdatedMar 5, 2024
R

sandipanpaul21 /Logistic-regression-in-python

Star18

Logistic Regression technique in machine learning both theory and code in Python. Includes topics from Assumptions, Multi Class Classifications, Regularization (l1 and l2), Weight of Evidence and Information Value

logistic-regression regularization information-value weight-of-evidence ridge-regression l2-regularization lasso-regression multiclass-logistic-regression l1-regularization elastic-net-regression logistic-regression-assumptions

UpdatedDec 22, 2021
Jupyter Notebook

wyattowalsh /regularized-linear-regression-deep-dive

Sponsor

Star13

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.

python optimization jupyter-notebook regression regularization ridge-regression regularized-linear-regression lasso-regression coordinate-descent ordinary-least-squares elastic-net-regression

UpdatedJan 20, 2021
Jupyter Notebook

Oprishri /Machine-Learning-Algorithms

Star7

To know internal working of machine learning algorithms, I have implemented types of regression through scratch.

logistic-regression ridge-regression polynomial-regression decision-tree multivariate-regression lasso-regression knn-classification simple-linear-regression elastic-net-regression

UpdatedOct 12, 2020
Jupyter Notebook

SarodYatawatta /smart-calibration

Star6

Deep reinforcement learning for smart calibration of radio telescopes. Automatic hyper-parameter tuning.

reinforcement-learning distributed-computing openai-gym pytorch hyperparameter-optimization radio-astronomy ddpg sac sagecal fuzzy-controller radio-telescopes td3 elastic-net-regression influence-maps

UpdatedApr 28, 2025
Python

elgabbas /Conservation-Prioritisation-Sensitivity

Star4

R code used for the analyses of the paper: Spatial conservation prioritisation in data-poor countries: a quantitative sensitivity analysis using different taxa

r maxent connectivity species-distribution-modelling zonation protected-areas egypt mammals iucn-red-list reptiles butterflies data-poor sampling-bias surrogates elastic-net-regression quantitative-sensitivity-analysis spatial-conservation-planning spatial-conservation-prioritisation

UpdatedNov 9, 2020
HTML

micahwiesner67 /NY_100YR_Flood_Prediction

Star3

I created multiple models to predict the discharge volume of a 100 year flood on rivers in NY state. The discharge of 100 year flood events is dependent upon watershed drainage area, and elevation among other variables.

hydrology ridge-regression regression-models lasso-regression elastic-net-regression

UpdatedMay 14, 2021
R

Labo-Lacourse /Code_chap_23_logistic_regression_regularization

Star3

Algorithmes d’apprentissage et modèles statistiques: Un exemple de régression logistique régularisée et de validation croisée pour prédire le décrochage scolaire

machine-learning r logistic-regression glmnet regularization ridge-regression social-sciences lasso-regression elastic-net-regression

UpdatedJun 11, 2021
Jupyter Notebook

nalbert4 /DataModels

Star2

Data Models in R for Multiple Linear Regression and three models (Ridge, Lasso, and Elastic-Net), to predict Medicare claim costs of Type 2 diabetes patients with other diagnoses. We used Data from Entrepreneur’s Medicare Claims Synthetic Public Use Files (DE-SynPUFs) for our analysis.

data-model linear-regression-models lasso-regression-model elastic-net-regression ridge-regression-model de-synpuf-data medicare-claim-costs-prediction diabetes-claim-costs-prediction

UpdatedDec 10, 2021

tboudart /Financial-Markets-Regression-Analysis

Star2

My role in this group project was to perform regression analysis on quarterly financial data to predict a company's market capitalization. I used R to develop ordinary least squares (OLS), stepwise, ridge, lasso, relaxed lasso, and elastic net regression models. I first used stepwise and OLS regression to develop a model and examine its residual…

car dplyr r-markdown psych glmnet caret ridge-regression ca stringr vcd lasso-regression tidyr regression-analysis stepwise-regression ordinary-least-squares amelia leaps corrplot elastic-net-regression relaxed-lasso

UpdatedJun 29, 2021

Neo-Panther /ML-Project-Predicting-Emissions

Star2

ML Project implementing ANN, SVM, Random Forest, Elastic Net regression models from scratch.

machine-learning jupyter-notebook regression python3 artificial-neural-networks support-vector-regression random-forest-regression elastic-net-regression

UpdatedMay 29, 2024
Jupyter Notebook

belohith /ml-algorithms

Star1

A demonstration of the basic Machine Learning Algorithms

python data-science data machine-learning jupyter random-forest machine-learning-algorithms jupyter-notebook data-visualization logistic-regression ridge-regression decision-tree-classifier lasso-regression elastic-net-regression

UpdatedNov 13, 2022
Jupyter Notebook

shussin245 /GeneExpressionAnalysis

Star1

A tutorial demonstrating how to analyze gene expression data using elastic net models to predict patient responses to immunotherapy, focusing on regularization, cross-validation, and feature importance.

cross-validation precision-medicine feature-importance elastic-net-regression gene-expression-analysis

UpdatedDec 30, 2024
Jupyter Notebook

iremustek /Predictive-Maintenance-Analysis

Star1

The project aims to enhance aircraft engine maintenance operations and planning using statistical learning and machine learning methods.

maintenance predictive-modeling predictive-maintenance random-forest-regression time-to-failure k-nearest-neighbor-classifier elastic-net-regression

UpdatedJun 30, 2023
Jupyter Notebook

charumakhijani /advanced-house-price-prediction

Star1

exploratory-data-analysis data-visualization kaggle-competition outlier-detection scaling house-price-prediction lasso-regression support-vector-regression kfold-cross-validation ensemble-models kernel-ridge-regression random-forest-regression missing-value-treatment skewed-data one-hot-encoding xgbregressor elastic-net-regression rmse-score lgbmregressor gradient-boosting-regression

UpdatedSep 30, 2020
Jupyter Notebook

nikhilbordekar /Yes-Bank-s-Stock-Closing-Price-Prediction-by-Regression

Star1

This project focuses on forecasting the closing prices of Yes Bank's stock. Through data analysis and predictive modeling, this project provides valuable insights for investors and traders, aiding them in making informed decisions about their investments in Yes Bank's stock.

linear-regression supervised-learning ridge-regression regression-models lasso-regression elastic-net-regression