3. 433. What are Data Connectivity, APIs, and Endpoints | Skyhighes | Data Science

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    8
  4. 422. The Importance of Working with a Balanced Dataset | Skyhighes | Data Science

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  5. 409. MNIST What is the MNIST Dataset | Skyhighes | Data Science

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  6. 508. Working with Methods in Python - Part II | Skyhighes | Data Science

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    20
  7. 470. Working on Education, Children, and Pets | Skyhighes | Data Science

    470. Working on Education, Children, and Pets | Skyhighes | Data Science

    12
  9. 443. Introduction to Terms with Multiple Meanings | Skyhighes | Data Science

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

    17
  11. 478. Fitting the Model and Assessing its Accuracy | Skyhighes | Data Science

    478. Fitting the Model and Assessing its Accuracy | Skyhighes | Data Science

    5
  12. 466. Extracting the Month Value from the Date Column | Skyhighes | Data Science

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  15. 323. Optimization Algorithm 1-Parameter Gradient Descent | Skyhighes | Data Science

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

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

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    3
  19. 319. Graphical Representation of Simple Neural Networks | Skyhighes | Data Science

    319. Graphical Representation of Simple Neural Networks | Skyhighes | Data Science

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  20. 313. Introduction to Neural Networks | Skyhighes | Data Science

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  22. 432. What are Data, Servers, Clients, Requests, and Responses | Skyhighes | Data Science

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    5
  23. 488. Preparing the Deployment of the Model through a Module | Skyhighes | Data Science

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    5
  24. 485. Saving the Model and Preparing it for Deployment | Skyhighes | Data Science

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    6
  25. 483. Backward Elimination or How to Simplify Your Model | Skyhighes | Data Science

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    6