- Introduction
- Initial Plan
- The Dataset
- Pairplot
- Heat Map
- Feature Importance
- Web Application
- Tableau Dashboard
- Resources
- Motivation
The aim of this project is to create a Machine Learning Model and deploy 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 view the Machine Learning Pipeline.
Click here to view the Web Application.
- 1. Load the dataset
- 2. Perform EDA on the dataset
- 3. Generate Plots and visuals
- 4. Select a suitable Machine Learning Model
- 5. Create a Tableau Dashboard
- 6. Develop a Web App using Flask
- 7. Create a single/double webpage site for the Web App
- 8. Deploy the project on Heroku