Tools for developing OLS regression models

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.

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

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

📈 Hands-on regression analysis project in R using a dataset with 30 predictors. Includes manual OLS implementation without lm(), p-value computation, and comparison with built-in functions. Applies stepwise selection (AIC/BIC), Ridge, and Lasso to minimize test error and identify key predictors.

This analysis is based on the multivariate normal prior

Regression models for predicting bitcoin price

Analysis of survey data collected by M. Weisend in the Thar Desert, India. Includes example analysis using stepwise regression and ANCOVA.

🏙 What's an appropriate price? Predicting Milan's apartment prices.

Performing EDA and building model that predicts the selling prices of new homes at a Colorado ski resort

Classification of movie rankings