Use a framework like TensorFlow, PyTorch, or Scikit-learn to build your model. Train the model using your prepared data, adjusting parameters to improve performance.

What are the main steps in building and training a machine learning model using a framework?

Great suggestion! Frameworks like TensorFlow, PyTorch, and Scikit-learn are incredibly powerful for building and training models. Each has its strengths—TensorFlow excels in production-grade deployment, PyTorch is beloved for its flexibility and ease of debugging, and Scikit-learn is perfect for quick prototyping and simpler models