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  2. 306. Addition and Subtraction of Matrices | Skyhighes | Data Science

    306. Addition and Subtraction of Matrices | Skyhighes | Data Science

    3
  7. 415. MNIST Batching and Early Stopping | Skyhighes | Data Science

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

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

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

    3
  10. 508. Working with Methods in Python - Part II | Skyhighes | Data Science

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

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

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

    12
  13. 433. What are Data Connectivity, APIs, and Endpoints | Skyhighes | Data Science

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

    8
  14. 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
  15. 409. MNIST What is the MNIST Dataset | Skyhighes | Data Science

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

    3
  16. 298. Machine Learning with Naïve Bayes (First Attempt) | Skyhighes | Data Science

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

    17
  17. 293. Overcome Imbalanced Data in Machine Learning | Skyhighes | Data Science

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

    16
  18. 361. Learning Rate Schedules Visualized | Skyhighes | Data Science

    361. Learning Rate Schedules Visualized | Skyhighes | Data Science

    16
  21. 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
  24. 242. Binary Predictors in a Logistic Regression | Skyhighes | Data Science

    242. Binary Predictors in a Logistic Regression | Skyhighes | Data Science

    5
  25. 260. Pros and Cons of K-Means Clustering | Skyhighes | Data Science

    260. Pros and Cons of K-Means Clustering | Skyhighes | Data Science

    4