IAthon

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Across
  1. 2. A process of finding the best parameters for a model
  2. 3. A form of supervised learning where output labels are continuous
  3. 5. A type of neural network that learns from labeled data
  4. 7. This algorithm is often used for classification tasks
Down
  1. 1. The process of splitting data into training and testing sets
  2. 4. A mathematical function used in training neural networks to adjust weights
  3. 6. A technique where multiple models are trained and combined to make predictions