Applying Linear regression for car price prediction and key variable identification
-
Updated
Mar 7, 2018 - R
Applying Linear regression for car price prediction and key variable identification
Explored data using data visualisation and exploratory data analysis. Used Logistic Regression to create a basic prediction model. Improved model using recursive feature elimination.
Class to perform cross validation and draw ROC curves for Test and Training data
Fraud Detection on Credit Transaction using Data Cleaning, Variable Creation, Feature Selection, ML Model Exploration and Selection
All independent variables do not have the similar impact on dependent variable. Here we will try to find the independent varibles that have most significant impact on dependent variable to make the ML algorithm fast and accurate by utilizing RFE.
This package was the result of master thesis that is seen at link https://tede2.uepg.br/jspui/handle/prefix/152 and in the article https://doi.org/10.5335/rbca.2015.3727.
Code and tutorials for implementing the GlObal And Local Score
R package for Non-local Prior Based Iterative Variable Selection for Genome-Wide Association Studies, or Other High-Dimensional Data
Analysis of the Underlying Dynamics in the Stock Market: Stock Price of Southwest Airlines and Its Relationship with Other Stocks in the Market
Predict prices of diamond data in ggplot2
In this study we seek to predict employee attrition with KNN clustering and Naive Bayes, and to predict employee salary using multiple linear regression
R/C code for Bayesian variable selection for Dirichlet-multinomial regression models. Accompany paper: Wadsworth et al. (2016). An Integrative Bayesian Dirichlet-Multinomial Regression Model for the Analysis of Taxonomic Abundances in Microbiome data. BMC Bioinformatics 18:94.
Code and data of the paper "A nonparametric test of independence between two random variables of any kind"
Business case (Python): Finding opportunities for real-estate investments on an European capital
ASIGNACION de valores a variables en JAVA
The goal of the project is to predict Life Expectancy using various factors and to determine the relationship that exists between them.
Code and Simulations using Biologically Annotated Neural Networks (BANNs)
Business case (SQL): Revenue optimization for a multinational wholesaler
DPMP prior on model space
Add a description, image, and links to the variable-selection topic page so that developers can more easily learn about it.
To associate your repository with the variable-selection topic, visit your repo's landing page and select "manage topics."