16 skills found
dcajasn / Riskfolio LibPortfolio Optimization and Quantitative Strategic Asset Allocation in Python
rsquaredacademy / OlsrrTools for developing OLS regression models
talhahascelik / Python StepwiseSelectionAutomated Backward and Forward Selection On Python
AakkashVijayakumar / Stepwise RegressionProject uploaded to Python community
SebastianAment / CompressedSensing.jlContains 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.
avinashbarnwal / StepwiseregStepwise Regression-Python
AlvinJiaozhu / Linear Regression Model BasketballStatistical model on NBA basketball players' performance using multiple linear regression and stepwise search.
emirhankartal-py / Python Bidirectional Stepwise SelectionAutomated Bidirectional Stepwise Selection On Python
xiaolinmu / DamSafetyMonitoringThe effect quantity is decomposed into water pressure component, temperature component and aging component, and the diagram is made automatically. Refer to Prof. Wu Zhongru's Safety Monitoring Theory & It's Appliaction of Hydraulic Structures
SihaoSun / Stepwise RegressionStepwise regression algorithm
cran / StepReg:exclamation: This is a read-only mirror of the CRAN R package repository. StepReg — Stepwise Regression Analysis Report bugs for this package: https://github.com/JunhuiLi1017/StepReg/issues
chris-santiago / StepsA SciKit-Learn style feature selector using best subsets and stepwise regression.
nishantdhol / AgricultureForecastingAn algorithm intended to predict the yield of any crop. Used Agricultural Data sets for building the Step-wise Regression Model. Technology Stack: R language, SQL, Linear Regression library, Plumber library, Swagger API
liangyuanhu / Variable Selection W Missing DataA general variable selection approach in the presence of missing data in both covariates and outcomes. This approach exploits the flexibility of machine learning modeling techniques and bootstrap imputation, which is amenable to nonparametric methods in which the effect sizes of predictor variables are not naturally defined as in parametric models. Six methods are considered and compared: XGBoost, Random Forests, Conditional Random Forests, Bayesian Additive Regression Trees, lasso, stepwise backward selection.
JeffersonLab / Model SelectionModel slection with stepwise regression.
YpLarryWang / Stepwise Regressiona custom forward-backward stepwise regression with python
