The dataset for which we will build the model and deploying it is a music dataset. Where the website deployment requires a lot of extra effort to set up the front-end, android apps seems a reasonable solution, and that too when the app is built in Python! In this article, I will walk you through building apps using Python, which will be a cross-platform application, meaning it can be converted into android apps and IOS too. In most cases, the model is deployed via the web interfaces, android apps, or IoT. After working on the model building, the next step in the machine learning life cycle is usually the deployment in the real-world scenario to perform actionable tasks.
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