Portfolio Optimization and Quantitative Strategic Asset Allocation in Python

Tools for developing OLS regression models

Automated Backward and Forward Selection On Python

Stepwise Regression-Python

Automated Bidirectional Stepwise Selection On Python

Binary Classification Using Alteryx Self Service Analytics

Model slection with stepwise regression.

Data Analysis and Decision Making Project using R

Stepwise regression fits a logistic regression model in which the choice of predictive variables is carried out by an automatic forward stepwise procedure.

Following Project is for predicting the list of creditworthy customers for a bank.

Tugas besar analisa data

Ames Housing Prices: Advanced Regression Techniques

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.

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.

SPSS statistical software package. Includes Hypothesis Testing, Multiple Comparison Tests, and Interaction in Regression

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

I took a look at the mtcars dataset in R and wanted to do an analysis on this dataset. In 2018

🌏 선진국 여부에 따른 기대수명 예측 프로젝트 - 회귀해석 강의

Statistical Learning Theory project - EFSA

Predict customer credit card defaults for next month. Keywords: R, logic regression, decision tree