Phase 4
Overall Progress
0%
12 questions covering supervised learning, gradient descent, model evaluation, and sklearn. Pass: 9/12.
Supervised learning, regression, classification, gradient descent, and evaluation—before neural networks for RL.
12 questions covering supervised learning, gradient descent, model evaluation, and sklearn. Pass: 9/12.
Supervised learning, regression, classification, gradient descent, and evaluation—before neural networks for RL.