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Building a Machine Learning Web App with Flask and scikit-learn: A Step-by-Step Guide

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If you're looking to build a machine learning web app, Flask and scikit-learn are great tools to use. In this step-by-step guide, we'll walk through the process of building a machine learning web app with Flask and scikit-learn. Step 1: Set Up Your Environment The first step is to set up your development environment. You'll need to have Python and Flask installed on your machine. Additionally, you'll need to install scikit-learn, which is a library that provides tools for machine learning in Python. You can install scikit-learn using pip: pip install -U scikit-learn Step 2: Prepare Your Data Before you can start building your machine learning model, you'll need to prepare your data. This typically involves collecting and cleaning data, as well as splitting it into training and testing sets. For the purposes of this tutorial, we'll be using the Iris dataset, which is included in scikit-learn. Step 3: Train Your Model Once you've prepared your data, you can tr...