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  2. 146. Using Arithmetic Operators in Python | Skyhighes | Data Science

    146. Using Arithmetic Operators in Python | Skyhighes | Data Science

    9
  4. 383. Business Case Balancing the Dataset | Skyhighes | Data Science

    383. Business Case Balancing the Dataset | Skyhighes | Data Science

    11
  5. 377. MNIST Select the Loss and the Optimizer | Skyhighes | Data Science

    377. MNIST Select the Loss and the Optimizer | Skyhighes | Data Science

    10
  8. 443. Introduction to Terms with Multiple Meanings | Skyhighes | Data Science

    443. Introduction to Terms with Multiple Meanings | Skyhighes | Data Science

    29
  11. 18. Real Life Examples of Traditional Methods | Skyhighes | Data Science

    18. Real Life Examples of Traditional Methods | Skyhighes | Data Science

    10
  14. 349. Underfitting and Overfitting for Classification | Skyhighes | Data Science

    349. Underfitting and Overfitting for Classification | Skyhighes | Data Science

    8
  16. 462. Creating Checkpoints while Coding in Jupyter | Skyhighes | Data Science

    462. Creating Checkpoints while Coding in Jupyter | Skyhighes | Data Science

    8
  18. 342. Non-Linearities and their Purpose | Skyhighes | Data Science

    342. Non-Linearities and their Purpose | Skyhighes | Data Science

    11
  19. 306. Addition and Subtraction of Matrices | Skyhighes | Data Science

    306. Addition and Subtraction of Matrices | Skyhighes | Data Science

    17
  20. 321. Common Objective Functions L2-norm Loss | Skyhighes | Data Science

    321. Common Objective Functions L2-norm Loss | Skyhighes | Data Science

    6
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