Projects in Awesome Lists tagged with stepwise-regression
A curated list of projects in awesome lists tagged with stepwise-regression .
https://github.com/dcajasn/riskfolio-lib
Portfolio Optimization and Quantitative Strategic Asset Allocation in Python
asset-allocation convex-optimization cvar-optimization cvxpy drawdown-model duration-matching efficient-frontier finance investment investment-analysis portfolio-management portfolio-optimization principal-components-regression quantitative-finance risk-contribution risk-factors risk-parity sharpe-ratio stepwise-regression trading
Last synced: 12 May 2025
https://github.com/dcajasn/Riskfolio-Lib
Portfolio Optimization and Quantitative Strategic Asset Allocation in Python
asset-allocation convex-optimization cvar-optimization cvxpy drawdown-model duration-matching efficient-frontier finance investment investment-analysis portfolio-management portfolio-optimization principal-components-regression quantitative-finance risk-contribution risk-factors risk-parity sharpe-ratio stepwise-regression trading
Last synced: 22 Mar 2025
https://github.com/rsquaredacademy/olsrr
Tools for developing OLS regression models
collinearity-diagnostics linear-models regression rstats stepwise-regression
Last synced: 25 Oct 2025
https://github.com/sebastianament/compressedsensing.jl
Contains a wide-ranging collection of compressed sensing and feature selection algorithms. Examples include matching pursuit algorithms, forward and backward stepwise regression, sparse Bayesian learning, and basis pursuit.
basis-pursuit compressed-sensing feature-selection julia matching-pursuit sparse-bayesian-learning sparse-linear-systems sparse-regression sparsity stepwise-regression subset-selection
Last synced: 30 Jul 2025
https://github.com/jgurakuqi/pattern-estimation-and-trend-analysis
The goal of these examples is to analyse the given datasets to determine whether some models can be established for purposes of prediction, to assess how stepwise prediction behaves with respect to a personally chosen model and determine an unknown trend in the cereal dataset.
linear-regression logistic-regression models predictive-analytics predictive-modeling r regression-models rstudio stepwise-regression
Last synced: 09 Nov 2025
https://github.com/jdfoster11/r_key_factors_of_song_popularity
Using R to perform a statistical and multiple regression analysis on a music dataset
data-science multiple-linear-regression r regression-models rprogramming stepwise-regression
Last synced: 04 Sep 2025