revenue-prediction
There are 2 repositories under revenue-prediction topic.
naveen-chauhan / Supermart-Sales-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.
Language:Jupyter Notebook 24anjanatiha / Movie-Revenue-Rating-Prediction-from-IMDB-Movie-Data
Movie Revenue & Ratings Prediction Using 5000 IMDB Movies [Python, Machine Learning, GitHub]
Language:Jupyter Notebook 11course-dprep / airbnb-price-calculator
A workflow that estimates Airbnb pricing and predict the rental properties annual revenue based on the characteristics of the Airbnb.
Language:R 9jigzz18 / Predicting-revenue-using-simple-linear-regression
In this project, We have created a model which will predict the revenue in dollars.
Language:Jupyter Notebook 3McGill-MMA-EnterpriseAnalytics / Revenue-Radar
Predictive modelling for customer conversion and transaction revenue at Google's e-commerce shop
Language:Jupyter Notebook 2abhishek1377 / Customer-LifetTime-Value-Prediction
CLV prediction using Regression Analysis of customer invoice data for an online retail store
DataSenseiAryan / Addprediction
Predicting the Advertisement Revenue for a auction website along with setting the range of bidding values for next auctions.
Language:Jupyter Notebook 1hjlopes / kaggle-revenue-prediction
Kaggle competition of Google Analytics Customer Revenue Prediction
Language:Jupyter Notebook 1kozodoi / Kaggle_Google_Analytics
Solution to the "Google Analytics Customer Revenue Prediction" Kaggle Competition
Language:Jupyter Notebook 1mayorofdata / Revenue-Prediction-Using-Simple-Linear-Regression
In this project, I applied Linear Regression model to solve the task using python
Language:Jupyter Notebook 1danielbitonn / bank_clients_classification
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.
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minirookie / Whole_Foods_Equity_Research_Financial_Analysis
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.
0rickmora98 / Excel-Dashboard
A demonstration of advanced graphing techniques, table usage, and advanced array formulae usage in Excel.
0sls-mdr / fbc-linear-regression
You can find a fictive business case for a linear regression
Language:Jupyter Notebook 0trunghieu-tran / Google-Analytics-Customer-Revenue-Prediction
Predict how much GStore customers will spend
Language:Jupyter Notebook 0ankita-1007 / Youtube-Revenue-Prediction
Predicting youtube revenue using ML models
Language:Jupyter Notebookcnai-ds / Revenue-Forecast-Reserved-Price
Forecast of advertisement revenue for the coming months and reserved price prediction for bidding price.
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LaurentVeyssier / App-Directing-customers-to-subscription
Design a predictive model identifying users likely to subcribe or not allowing to focus marketing ressources to increase conversion
Language:Jupyter Notebookricardoariasalazar / Inventory-System
The inventory system simulates the stocking level and the revenue of Cantilever Umbrellas in an Australian firm.
Language:PythonYanjunLin-Andrie / Time_series_Prophet_predictions
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.
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