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

Predict how much GStore customers will spend

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

Utilizing facebook-prophet machine learning model to analyze MercadoLibre's financial and user data to identify search traffic trends and predict stock prices and sales revenue.

Predicting youtube revenue using ML models

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.

Design a predictive model identifying users likely to subcribe or not allowing to focus marketing ressources to increase conversion

This report analyzed KPIs to assess Whole Foods' financial health and performance. It benchmarked the peer retailers, revealing critical success factors and each business model's strengths and weaknesses. A regression model forecasted Whole Foods' revenue growth, and CAPM estimated the future stock trend to provide recommendations to shareholders.

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

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

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.

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

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

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