Portfolio Optimization and Quantitative Strategic Asset Allocation in Python

Tools for developing OLS regression models

Automated Backward and Forward Selection On Python

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.

Stepwise Regression-Python

Automated Bidirectional Stepwise Selection On Python

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

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

Model slection with 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.

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…

Integrated Project for Business

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

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

Repo for multiple regression assignments in Quant III for EDUC467.

Tugas besar analisa data

Statistical Multivariate Regression Analysis to determine the effects of mortality, economic and social factors on life expectancy.

Data Analysis and Decision Making Project using R

Sports Analytics in Python