n this article, we explore how to integrate two machine learning projects—Text-to-Speech (TTS) and Email Spam Detection—using Flask’s GET APIs. By connecting these projects, we can create a powerful modular system that can be easily expanded with additional features.
READ MOREData visualization isn't just about making charts; it's about telling stories with data. Matplotlib and Seaborn are powerful Python libraries that make this process intuitive and customizable. From simple line plots to complex heatmaps, these libraries have everything you need to turn numbers into visuals that
READ MOREAfter training the machine learning model, it’s often useful to save it so that you can reuse it later without retraining. Here's how you can save a model.
READ MOREIn this guide, we'll walk you through the process of building a supervised learning project to detect spam emails using the Naive Bayes algorithm.
READ MOREEach platform offers unique advantages, making it important to choose based on specific workload requirements and pricing considerations.
READ MOREBy following these steps, you’ll have an Ubuntu server running Flask in no time. Using Ubuntu provides a solid foundation for running applications, and its reliability makes it a great choice for both development and production environments.
READ MOREGoogle Colab, a cloud-based platform by Google, enables developers, data scientists, and AI enthusiasts to run Python code directly in their browsers without the need for setup or configuration.
READ MOREIn this guide, we will show you how you can split the text to chunks and give long text to model. This model has limitation of 250 characters. Using this guide you will be able to give unlimited text.
READ MORESQLite allows us to store and manage multiple text tasks for batch processing.
READ MOREThis article provides a step-by-step guide on how to set up a Text-to-Speech (TTS) project using the XTTS model.
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