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

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

    28
  2. 372. MNIST Preprocess the Data - Create a Validation Set and Scale It | Skyhighes | Data Science

    372. MNIST Preprocess the Data - Create a Validation Set and Scale It | Skyhighes | Data Science

    7
  3. 367. Preprocessing Categorical Data | Skyhighes | Data Science

    367. Preprocessing Categorical Data | Skyhighes | Data Science

    11
  7. 358. Problems with Gradient Descent | Skyhighes | Data Science

    358. Problems with Gradient Descent | Skyhighes | Data Science

    35
  8. 455. Classifying the Various Reasons for Absence | Skyhighes | Data Science

    455. Classifying the Various Reasons for Absence | Skyhighes | Data Science

    10
  9. 450. Obtaining Dummies from a Single Feature | Skyhighes | Data Science

    450. Obtaining Dummies from a Single Feature | Skyhighes | Data Science

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

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

    11
  12. 382. Business Case Outlining the Solution | Skyhighes | Data Science

    382. Business Case Outlining the Solution | Skyhighes | Data Science

    6
  13. 404. Types of File Formats, supporting Tensors | Skyhighes | Data Science

    404. Types of File Formats, supporting Tensors | Skyhighes | Data Science

    12
  14. 403. Actual Introduction to TensorFlow | Skyhighes | Data Science

    403. Actual Introduction to TensorFlow | Skyhighes | Data Science

    4
  19. 377. MNIST Select the Loss and the Optimizer | Skyhighes | Data Science

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

    10
  20. 488. Preparing the Deployment of the Model through a Module | Skyhighes | Data Science

    488. Preparing the Deployment of the Model through a Module | Skyhighes | Data Science

    7