Day 6 - Train Face Recognition Model with Machine Learning

Welcome to Day 6 of our Face Recognition Series! In this lesson, we’ll train a Face Recognition Model using Machine Learning techniques. You’ll learn how to extract facial embeddings, train a classifier (like SVM or KNN), and recognize faces automatically. By the end of this video, you’ll understand how to: Prepare and preprocess face datasets Extract features using embeddings Train a face recognition model using ML algorithms Evaluate and test your model for real-world accuracy This is a complete step-by-step tutorial perfect for beginners and those building practical AI or Computer Vision projects. 📚 Topics Covered: ✅ Face embedding generation ✅ Train-test split and data preparation ✅ Model training (SVM / KNN) ✅ Testing and prediction on new images ✅ Saving and loading trained models 💡 Next Step: In the next lesson, we’ll use this trained model to recognize faces in real-time video streams!