Deploying a Machine Learning Model Using Flask Machine learning (ML) models are powerful tools for solving real-world problems. However, for them to be useful, they need to be deployed so that users can interact with them via a web interface or API. Flask, a lightweight web framework in Python, is a great option for deploying ML models due to its simplicity and flexibility.This guide provides a step-by-step approach to deploying an ML model using Flask. You have trained a machine learning model for a specific task, such as image classification, sentiment analysis, or predictive analytics. Now, you have to make ... Read More

Google Colab, a well-known cloud-based Python programming setting, offers users skills to write and run code straight in a web browser. Even though Google Colab is typically utilised for the Analysis of data and machine learning projects, Flask apps can also be run there. We will examine the procedures needed to set up and operate a Flask application on Google Colab in this blog article. Setting up Google Colab Launch your web browser and navigate to https://colab.research.google.com/ in order to get started. Sign in employing your Google account or create one if required. Install Flask Python's Flask web ... Read More

This article contrasts these two web frameworks (Django and Flask), highlighting their similarities and differences as well as their features, benefits, and drawbacks, in order to assist you in selecting a paradigm for your project. Choosing the ideal web framework for your project as a software engineer or developer can be difficult because there are a lot of options like Django, Flask Pyramid, etc. Brief overview of Django and Flask Both the Django and Flask Python web frameworks have a sizable user base. With an integrated ORM, templates, and admin interface, Django is a high-level, full-stack web framework. On the ... Read More