User friendly marketing campaign supporting system with AI capabilities (Random Forest, Accord.NET, .NET Core, Web API 2, ReactJS and Recharter)
The project aims at optimizing the telephone marketing campaign process by creating a Machine Learning system. The system predicts which clients would potentially be interested in a term deposit. It utilizes an anonymized dataset coming from a bankrupt Portuguese bank. It reduces the campaign costs and the burden put on the potential bank clients (unwanted calls).
Based upon the following dataset. It underwent the data wrangling process which is a standard practice in data analysis.
Random Forest classification algorithm using the Accord.NET library
- Set up MS SQL Server and NodeJS on your machine
- Generate a DB table hierarchy using Entity Framework Core and import sample records
- Use
dotnet runfrom .NET Core 2 or compile the project in Visual Studio 2017 - Go to localhost:44309