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

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

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

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

    3
  4. 517. pandas DataFrames - Indexing with .loc[] | Skyhighes | Data Science

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

    21
  5. 514. pandas DataFrames - Common Attributes | Skyhighes | Data Science

    514. pandas DataFrames - Common Attributes | Skyhighes | Data Science

    8
  6. 512. Introduction to pandas DataFrames - Part I | Skyhighes | Data Science

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

    11
  8. 509. Parameters and Arguments in pandas | Skyhighes | Data Science

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

    14
  9. 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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  11. 491. Deploying the 'absenteeism_module' - Part II | Skyhighes | Data Science

    491. Deploying the 'absenteeism_module' - Part II | Skyhighes | Data Science

    8
  12. 469. Analyzing Several Straightforward Columns for this Exercise | Skyhighes | Data Science

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

    12
  14. 465. Analyzing the Dates from the Initial Data Set | Skyhighes | Data Science

    465. Analyzing the Dates from the Initial Data Set | Skyhighes | Data Science

    12
  15. 462. Creating Checkpoints while Coding in Jupyter | Skyhighes | Data Science

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

    8
  16. 466. Extracting the Month Value from the Date Column | Skyhighes | Data Science

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

    12
  17. 298. Machine Learning with Naïve Bayes (First Attempt) | Skyhighes | Data Science

    298. Machine Learning with Naïve Bayes (First Attempt) | Skyhighes | Data Science

    20
  18. 293. Overcome Imbalanced Data in Machine Learning | Skyhighes | Data Science

    293. Overcome Imbalanced Data in Machine Learning | Skyhighes | Data Science

    18
  20. 473. Exploring the Problem with a Machine Learning Mindset | Skyhighes | Data Science

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

    32
  23. 485. Saving the Model and Preparing it for Deployment | Skyhighes | Data Science

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

    6
  24. 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
  25. 422. The Importance of Working with a Balanced Dataset | Skyhighes | Data Science

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

    8
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