How to Build an Email Spam Detector in Python, Scikit-learn and Tkinter? | Machine Learning Projects

Learn how to create a real-world Email Spam Detector using Python, Scikit-learn, and Tkinter for the GUI. In this beginner-friendly tutorial, you’ll train a machine learning model to classify emails as SPAM or NOT SPAM, and deploy it in a desktop app. ✅ What You'll Learn: - How to load and clean a spam dataset - How to vectorize email text using TF-IDF - How to train a Naive Bayes model with Scikit-learn - How to build a user-friendly GUI with Tkinter 🧠 No prior machine learning experience required! Download the SMS Spam Collection dataset from Kaggle: https://www.kaggle.com/datasets/uciml/sms-spam-collection-dataset → Rename the file to spam.csv and place it in the same folder as the script. ❤️ Support the channel: Like, Comment & Subscribe 🎯 Code will be released when the video hits 50 likes! #Python #TextGeneration #CodingTutorial #RecipeGenerator #PythonProject #CodeWithMe #pythonforbeginners