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Some thing interesting about stepwise-regression
Some thing interesting about stepwise-regression
stepwise-regression,Binary Classification Using Alteryx Self Service Analytics
User: aashisharora13
stepwise-regression,Tugas besar analisa data
User: akmalmzkki
stepwise-regression,Data Analysis and Decision Making Project using R
User: anupriya1519
stepwise-regression,Regression Analysis of Used Car Prices
User: apang782
Home Page: https://apang782.github.io/vroom2/
stepwise-regression,This analysis is based on the multivariate normal prior
User: aryanrzn
stepwise-regression,Regression models for predicting bitcoin price
User: avalanche284
stepwise-regression,Stepwise Regression-Python
User: avinashbarnwal
stepwise-regression,Data Science II Project 1 Group Ayush Kumar, Faisal Hossain, Brandon Amirouche
User: ayush-kumar-1
stepwise-regression,:earth_asia: ์ ์ง๊ตญ ์ฌ๋ถ์ ๋ฐ๋ฅธ ๊ธฐ๋์๋ช ์์ธก ํ๋ก์ ํธ - ํ๊ทํด์ ๊ฐ์
User: datajudy20
stepwise-regression,Portfolio Optimization and Quantitative Strategic Asset Allocation in Python
User: dcajasn
Home Page: https://riskfolio-lib.readthedocs.io/en/latest/examples.html
stepwise-regression,Statistical Multivariate Regression Analysis to determine the effects of mortality, economic and social factors on life expectancy.
User: deeprpatel700
stepwise-regression,Statistical Learning Theory project - EFSA
User: domenico-rgs
stepwise-regression,Automated Bidirectional Stepwise Selection On Python
User: emirhankartal-py
stepwise-regression,This repository contain about stepwise regression from scratch using python
User: glazeradr
stepwise-regression,Following Project is for predicting the list of creditworthy customers for a bank.
User: ishuan
stepwise-regression,Model slection with stepwise regression.
Organization: jeffersonlab
Home Page: http://jeffersonlab.github.io/model-selection
stepwise-regression,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.
User: jgurakuqi
stepwise-regression,Analysis of survey data collected by M. Weisend in the Thar Desert, India. Includes example analysis using stepwise regression and ANCOVA.
User: lundquist-ecology-lab
stepwise-regression,Sports Analytics in Python
User: mamomen1996
stepwise-regression,Sports Analytics in R (Step-wise Regression and Subset Selection Regression)
User: mamomen1996
stepwise-regression,Stepwise regression fits a logistic regression model in which the choice of predictive variables is carried out by an automatic forward stepwise procedure.
User: mathias-kreis
stepwise-regression,Machine Learning Algorithms
User: newzysharma
stepwise-regression,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
User: nishantdhol
stepwise-regression,I took a look at the mtcars dataset in R and wanted to do an analysis on this dataset. In 2018
User: ntdung96
stepwise-regression,Identifying the most influential food groups on COVID-19 recovery rate: exploratory data analysis and statistical modeling
User: nursultanbs
stepwise-regression,๐ What's an appropriate price? Predicting Milan's apartment prices.
User: peterhontaru
stepwise-regression,Training a predictive model to forecast the house sale price in Ames, Iowa using Supervised Machine Learning Multiple Linear Regression algorithm with Stepwise Regression feature selection.
User: priauwindu
Home Page: https://priauwindu.github.io/Ames-Housing-Sale-Price-Prediction/
stepwise-regression,SPSS statistical software package. Includes Hypothesis Testing, Multiple Comparison Tests, and Interaction in Regression
User: qian-yu-2020
stepwise-regression,Forest-Fire-StepwiseRegression The relationships between the โProbability of Forest Fireโ in Algeria and its various weather components have been estimated.
User: rafsanrubaiyat
Home Page: https://rafsanrubaiyat.github.io/Forest-Fire-StepwiseRegression/
stepwise-regression,Tools for developing OLS regression models
Organization: rsquaredacademy
Home Page: https://olsrr.rsquaredacademy.com/
stepwise-regression,Classifying Credit Card transactions as fraudulent or genuine using Classification techniques.
User: sarthak-mohapatra
stepwise-regression,Ames Housing Prices: Advanced Regression Techniques
User: scottherford
stepwise-regression,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.
User: sebastianament
stepwise-regression,Performing EDA and building model that predicts the selling prices of new homes at a Colorado ski resort
User: shubham199408
stepwise-regression,The given dataset contains electricity consumer household information. This information has been used to predict the amount to be paid by the consumer with the help of regression model selection and validated with feature importance.
User: siddharth1989
stepwise-regression,Explanatory model for prices of Hybrid Electric Vehicles
User: stellazyq
stepwise-regression,Automated Backward and Forward Selection On Python
User: talhahascelik
stepwise-regression,Predict customer credit card defaults for next month. Keywords: R, logic regression, decision tree
User: tanghanrui
stepwise-regression,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.
User: tboudart
stepwise-regression,Repo for multiple regression assignments in Quant III for EDUC467.
User: thechanrproject
stepwise-regression,Classification of movie rankings
User: vargovema
stepwise-regression,The 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
User: xiaolinmu
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