revenue-prediction

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]

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

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

Multi-task Deep Learning model for predicting key business performance indicators (KPIs) from tabular financial/accounting data.

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

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

Kaggle competition of Google Analytics Customer Revenue Prediction

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.

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.

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.

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.

You can find a fictive business case for a linear regression

Machine Learning models for monthly revenue forecasting with 85% accuracy | Python • Scikit-learn • Power BI

Predict how much GStore customers will spend