Minor Project

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Machine Learning Pipeline on Cloud

The aim of this project is to create a Machine Learning Model and host it on a Cloud Application and create a Web Application for accessing it through internet.

We will be using a simple dataset of used vehicles for our model and try to predict the price of a vehicle depending values of the features specified by the user/buyer.

Click here to go to the Pipeline.

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Table of Contents

1. Initial Plan
2. The Dataset
3. Pairplot
4. Heat Map
5. Feature Importance
6. Citations

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Initial Plan:

• 1. Load the dataset
• 2. Perform EDA on the dataset
• 3. Generate Plots and visuals
• 4. Select a suitable Machine Learning Model
• 5. Develop a Web App using Flask
• 6. Create a single/double webpage site for the Web App
• 7. Deploy the project on Heroku

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The Dataset

*a preview of how the dataset looks

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Pairplot

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Heat Map

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Feature Importance

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Citations

• Vehicle Dataset
• Random Forest Regressor