Predict the profitability of potential coffee shop locations using SQL and Python. Combines data engineering with feature-rich regression modeling, visual analytics, and business insights to support data-driven site selection and retail decision-making.

web-based application that predicts the profits of startups by utilizing machine learning models trained on historical startup data

This repository contains two projects demonstrating the use of multiple linear regression for predictive modeling. The first project predicts startup profits based on business expenditures, while the second predicts the selling price of Toyota Corolla cars using various car features. The projects include detailed analysis, model development.

Прогнозирование прибыли от нефтяных скважин для компании «ГлавРосГосНефть» с использованием линейной регрессии и анализа рисков (Bootstrap). Цель — определить регион с максимальной ожидаемой прибылью и минимальным риском убытков.

A Machine Learning model to predict airline profitability using operational and financial KPIs