Modeling ship performance curves to reduce fuel consumption

Developed a linear regression model to forecast case shipments considering various predictor variables such as time trends (month), seasonality (seasonal index), and promotions. Conducted Durbin Watson test and generated a forecast and prediction interval.

Beer sales price regression in python

This project implements a Flask web app for predicting Boston house prices using a stacked ensemble model with Random Forest and XGBoost. The machine learning solution is trained on a dataset featuring various housing-related features.

Regression Modeling in Practice - Gapminder studies - Coursera

The Google Advanced Data Analytics Certificate contains information on how to use machine learning, predictive modeling, statistical techniques, and experimental design to collect and analyze large amounts of data.