stepwise-regression | Topic | Ecosyste.ms: Repos

Topic: "stepwise-regression"

dcajasn/Riskfolio-Lib

Portfolio Optimization and Quantitative Strategic Asset Allocation in Python

Language: C++ - Size: 157 MB - Last synced at: 13 days ago - Pushed at: 28 days ago - Stars: 3,330 - Forks: 547

rsquaredacademy/olsrr

Tools for developing OLS regression models

Language: R - Size: 32.9 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 101 - Forks: 23

talhahascelik/python_stepwiseSelection

Automated Backward and Forward Selection On Python

Language: Python - Size: 188 KB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 56 - Forks: 20

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.

Language: Julia - Size: 336 KB - Last synced at: 12 days ago - Pushed at: about 3 years ago - Stars: 29 - Forks: 1

avinashbarnwal/stepwisereg

Stepwise Regression-Python

Language: Jupyter Notebook - Size: 246 KB - Last synced at: 9 days ago - Pushed at: over 5 years ago - Stars: 29 - Forks: 17

nishantdhol/AgricultureForecasting

An 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

Language: R - Size: 559 KB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 4 - Forks: 0

JeffersonLab/model-selection

Model slection with stepwise regression.

Language: R - Size: 202 KB - Last synced at: about 1 year ago - Pushed at: almost 9 years ago - Stars: 4 - Forks: 2

Quantum-Software-Development/Integrated-Project-for-Business

Integrated Project for Business

Language: Jupyter Notebook - Size: 8.87 MB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 2 - Forks: 0

tboudart/Financial-Markets-Regression-Analysis

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 plots. The plot displaying the residuals against the predicted values indicated multiplicative errors. I, therefore, took the natural log transformation of the dependent variable. The resulting model's R2 was significantly, negatively impacted. After examining scatter plots between the log transformation of market capitalization and the independent variables, I discovered the independent variables also had to be transformed to produce a linear relationship. Using the log transformation of both the dependent and independent variables, I developed models using all the regression techniques mentioned to strike a balance between R2 and producing a parsimonious model. All the models produced similar results, with an R2 of around .80. Since OLS is easiest to explain, had similar residual plots, and the highest R2 of all the models, it was the best model developed.

Size: 1.66 MB - Last synced at: 7 months ago - Pushed at: almost 4 years ago - Stars: 2 - Forks: 0

mzkki25/stepwise-linear-regression-without-libraries

Tugas besar analisa data

Language: Jupyter Notebook - Size: 133 KB - Last synced at: 10 months ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 1

mamomen1996/Python_CS_02

Sports Analytics in Python

Language: HTML - Size: 4.73 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0

mamomen1996/R_CS_04

Sports Analytics in R (Step-wise Regression and Subset Selection Regression)

Language: HTML - Size: 983 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0

rafsanRubaiyat/Forest-Fire-StepwiseRegression

Forest-Fire-StepwiseRegression The relationships between the ‘Probability of Forest Fire’ in Algeria and its various weather components have been estimated.

Language: JavaScript - Size: 2.16 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

ayush-kumar-1/cs4360-project1

Data Science II Project 1 Group Ayush Kumar, Faisal Hossain, Brandon Amirouche

Language: R - Size: 37.2 MB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 0

Sarthak-Mohapatra/Classifying-Credit-Card-transactions-as-Fraudulant-or-Genuine-using-ML-Algorithms.

Classifying Credit Card transactions as fraudulent or genuine using Classification techniques.

Size: 52.7 KB - Last synced at: about 1 year ago - Pushed at: over 5 years ago - Stars: 1 - Forks: 0

TheChanRProject/CGUMRAssignments

Repo for multiple regression assignments in Quant III for EDUC467.

Size: 574 KB - Last synced at: about 1 year ago - Pushed at: almost 7 years ago - Stars: 1 - Forks: 0

scottherford/Barley-House

Ames Housing Prices: Advanced Regression Techniques

Language: SAS - Size: 6.52 MB - Last synced at: over 1 year ago - Pushed at: about 7 years ago - Stars: 1 - Forks: 1

jdfoster11/R_Key_Factors_of_Song_Popularity

Using R to perform a statistical and multiple regression analysis on a music dataset

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Hadley-Dixon/CancerMortality

Multivariate least squares regression model that predicts cancer mortality rates for US counties

Language: Jupyter Notebook - Size: 14.4 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

victorhxk26/world-happiness-analysis

Stepwise regression and factor analysis on world happiness data using SPSS

Size: 310 KB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

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.

Language: HTML - Size: 1.7 MB - Last synced at: 25 days ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0