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

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

    8
  2. 473. Exploring the Problem with a Machine Learning Mindset | Skyhighes | Data Science

    473. Exploring the Problem with a Machine Learning Mindset | Skyhighes | Data Science

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

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

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  4. 475. Selecting the Inputs for the Logistic Regression | Skyhighes | Data Science

    475. Selecting the Inputs for the Logistic Regression | Skyhighes | Data Science

    2
  5. 297. Understanding Differences between Multinomial and Bernouilli Skyhighes | Data Science

    297. Understanding Differences between Multinomial and Bernouilli Skyhighes | Data Science

    10
  6. 286. Algorithm recommendation recommendation engine | Skyhighes | Data Science

    286. Algorithm recommendation recommendation engine | Skyhighes | Data Science

    10
  7. 517. pandas DataFrames - Indexing with .loc[] | Skyhighes | Data Science

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

    21
  8. 509. Parameters and Arguments in pandas | Skyhighes | Data Science

    509. Parameters and Arguments in pandas | Skyhighes | Data Science

    14
  9. 483. Backward Elimination or How to Simplify Your Model | Skyhighes | Data Science

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

    6
  10. 422. The Importance of Working with a Balanced Dataset | Skyhighes | Data Science

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

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

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

    20
  12. 490. Deploying the 'absenteeism_module' - Part I | Skyhighes | Data Science

    490. Deploying the 'absenteeism_module' - Part I | Skyhighes | Data Science

    5
  13. 479. Creating a Summary Table with the Coefficients and Intercept | Skyhighes | Data Science

    479. Creating a Summary Table with the Coefficients and Intercept | Skyhighes | Data Science

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  14. 415. MNIST Batching and Early Stopping | Skyhighes | Data Science

    415. MNIST Batching and Early Stopping | Skyhighes | Data Science

    3
  15. 480. Interpreting the Coefficients for Our Problem | Skyhighes | Data Science

    480. Interpreting the Coefficients for Our Problem | Skyhighes | Data Science

    3
  16. 516. pandas DataFrames - Indexing with .iloc[] | Skyhighes | Data Science

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

    18
  17. 512. Introduction to pandas DataFrames - Part I | Skyhighes | Data Science

    512. Introduction to pandas DataFrames - Part I | Skyhighes | Data Science

    11
  18. 507. Working with Methods in Python - Part I | Skyhighes | Data Science

    507. Working with Methods in Python - Part I | Skyhighes | Data Science

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  19. 469. Analyzing Several Straightforward Columns for this Exercise | Skyhighes | Data Science

    469. Analyzing Several Straightforward Columns for this Exercise | Skyhighes | Data Science

    12