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.

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

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

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.

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

You can find a fictive business case for a linear regression

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.

Predict how much GStore customers will spend

A demonstration of advanced graphing techniques, table usage, and advanced array formulae usage in Excel.

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.

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

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