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  2. 360. Learning Rate Schedules, or How to Choose the Optimal Learning Rate | Skyhighes | Data Science

    360. Learning Rate Schedules, or How to Choose the Optimal Learning Rate | Skyhighes | Data Science

    35
  6. 135. Practical Example Hypothesis Testing | Skyhighes | Data Science

    135. Practical Example Hypothesis Testing | Skyhighes | Data Science

    10
  12. 233. Introduction to Logistic Regression | Skyhighes | Data Science

    233. Introduction to Logistic Regression | Skyhighes | Data Science

    7
  14. 414. Calculating the Accuracy of the Model | Skyhighes | Data Science

    414. Calculating the Accuracy of the Model | Skyhighes | Data Science

    8
  15. 322. Common Objective Functions Cross-Entropy Loss | Skyhighes | Data Science

    322. Common Objective Functions Cross-Entropy Loss | Skyhighes | Data Science

    6
  17. 285. Algorithm recommendation Movie Database Analysis with ChatGPT | Skyhighes | Data Science

    285. Algorithm recommendation Movie Database Analysis with ChatGPT | Skyhighes | Data Science

    3
  19. 388. Business Case Learning and Interpreting the Result | Skyhighes | Data Science

    388. Business Case Learning and Interpreting the Result | Skyhighes | Data Science

    53
  20. 405. Basic NN Example with TF Inputs, Outputs, Targets, Weights, Biases | Skyhighes | Data Science

    405. Basic NN Example with TF Inputs, Outputs, Targets, Weights, Biases | Skyhighes | Data Science

    46
  22. 517. pandas DataFrames - Indexing with .loc[] | Skyhighes | Data Science

    517. pandas DataFrames - Indexing with .loc[] | Skyhighes | Data Science

    31
  25. 516. pandas DataFrames - Indexing with .iloc[] | Skyhighes | Data Science

    516. pandas DataFrames - Indexing with .iloc[] | Skyhighes | Data Science

    19
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