Practical Steps After Completing ML & Deep Learning Specializations

I’ve completed the ML Specialization Course and I’m finishing DL Specialization. Now, I’m looking to take my learning to the next level with some practice. What would be a good next step ? Should I focus on learning frameworks like TensorFlow or PyTorch, dive into Kaggle Datasets, any other path? I’d appreciate guidance.

Those are both good ideas.

1 Like