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

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

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

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

    3
  8. 393. Summary on What You've Learned | Skyhighes | Data Science

    393. Summary on What You've Learned | Skyhighes | Data Science

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

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

    12
  13. 394. What's Further out there in terms of Machine Learning | Skyhighes | Data Science

    394. What's Further out there in terms of Machine Learning | Skyhighes | Data Science

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

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

    16
  16. 383. Business Case Balancing the Dataset | Skyhighes | Data Science

    383. Business Case Balancing the Dataset | Skyhighes | Data Science

    8
  18. 377. MNIST Select the Loss and the Optimizer | Skyhighes | Data Science

    377. MNIST Select the Loss and the Optimizer | Skyhighes | Data Science

    8
  21. 321. Common Objective Functions L2-norm Loss | Skyhighes | Data Science

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

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

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

    3
  24. 317. The Linear Model with Multiple Inputs | Skyhighes | Data Science

    317. The Linear Model with Multiple Inputs | Skyhighes | Data Science

    3
  25. 316. The Linear Model (Linear Algebraic Version) | Skyhighes | Data Science

    316. The Linear Model (Linear Algebraic Version) | Skyhighes | Data Science

    3