You are opening a new Store at a particular location. Now, Given the Store Location, Area, Size and other params. Predict the overall revenue/Sale generation of the Store.

Movie Revenue & Ratings Prediction Using 5000 IMDB Movies [Python, Machine Learning, GitHub]

A workflow that estimates Airbnb pricing and predict the rental properties annual revenue based on the characteristics of the Airbnb.

In this project, We have created a model which will predict the revenue in dollars.

Solution to the "Google Analytics Customer Revenue Prediction" Kaggle Competition

Predictive modelling for customer conversion and transaction revenue at Google's e-commerce shop

CLV prediction using Regression Analysis of customer invoice data for an online retail store

Kaggle competition of Google Analytics Customer Revenue Prediction

In this project, I applied Linear Regression model to solve the task using python

Predicting the Advertisement Revenue for a auction website along with setting the range of bidding values for next auctions.

Forecast of advertisement revenue for the coming months and reserved price prediction for bidding price.

This project builds a regression model to predict the daily revenue of a coffee shop based on various operational features such as customer count, average order value, marketing spend, and foot traffic. Using a dataset from Kaggle, we explore the data, preprocess it, visualize patterns, and train a machine learning model to forecast revenue.

You can find a fictive business case for a linear regression

The inventory system simulates the stocking level and the revenue of Cantilever Umbrellas in an Australian firm.

Predict how much GStore customers will spend

Capstone project for Western Governor's University B.S. - Computer Science program

This repository uses a Kaggle dataset for a classification task: determining if bank clients are likely to invest in long-term deposits. Aimed at assisting banks with revenue declines, it targets customer classification, optimizing marketing efforts towards potential long-term depositors.

Analyzed box office data from Box Office Mojo, exploring relationships between worldwide revenue, release year, and a combined score that considers both factors. It includes visualizations like scatter plots, bar charts, and identifies top and bottom performing movies.