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I used a simple random forest model for predicting. Our goal here is to build an interactive dashboard with optimal variables to predict the probability of fraud and late delivery happening to prevent them. Making sure orders are delivered on time and preventing fraud is essential. The data set can be downloaded here since this is a supply chain company. The data set consists of roughly 180k transactions from supply chains used by the company DataCo Global for three years.

TABLEAU MODEL BUILDER LICENSE

This project's data set is maintained transparently with the Creative Commons 4.0 license by Fernando Silva through the Mendeley data repository. In this article process of deploying Machine learning models using Jupyter notebook and TabPy is discussed The Data Deploying trained machine learning from Jupyter Notebook to Tableau is easier than you think.

Suppose there is a way to directly visualize trained machine models in Tableau that makes this process much more comfortable. However, for any data scientist presenting trained machine models to end-users in an appealing way are as important as presenting Exploratory Data Analysis. Most Data Scientists/Analysts use tableau to create stunning visualizations with the available data for presentations.

All the data scientists who have used Tableau know how powerful and easy tableau is for data visualization. Tableau is a very effective tool to create interactive data visualizations quickly and is a top-rated tool in the data science community.

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