Prediction of Bitcoin Close Price using machine learning algorithms in R.
-
Updated
May 8, 2019 - R
#
elasticnet
Here are 7 public repositories matching this topic...
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.
r feature-engineering ridge-regression elasticnet lasso-regression support-vector-regression regression-analysis
-
Updated
Jun 8, 2020 - R
R package: Computes the solution path of the multivariate Scalar-on-Functional Elastic Net regression in serial and parallel.
cpp fortran parallel-computing variable-selection curvature admm rcpparmadillo elasticnet gmd functional-regression unbalanced-timepoints
-
Updated
Apr 22, 2022 - R
Multivariate Regression to predict sales of Used Cars
-
Updated
Jan 25, 2018 - R
Comparison of OLS, Ridge and elastic net estimators
-
Updated
Jul 7, 2022 - R
Creating a classifier for bladder cancer using Elastic Net Regression
machine-learning genomics machine-learning-algorithms computational-biology cancer-genomics logistic-regression regression-models cancer-research elasticnet
-
Updated
Jun 8, 2019 - R
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.
r random-forest crime women ridge-regression l2-regularization elasticnet lasso-regression l1-regularization
-
Updated
Aug 21, 2023 - R
Improve this page
Add a description, image, and links to the elasticnet topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the elasticnet topic, visit your repo's landing page and select "manage topics."