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  1. 371. MNIST Importing the Relevant Packages and Loading the Data | Skyhighes | Data Science

    371. MNIST Importing the Relevant Packages and Loading the Data | Skyhighes | Data Science

    6
  3. 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
  4. 462. Creating Checkpoints while Coding in Jupyter | Skyhighes | Data Science

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

    8
  6. 478. Fitting the Model and Assessing its Accuracy | Skyhighes | Data Science

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

    5
  7. 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
  8. 360. Learning Rate Schedules, or How to Choose the Optimal Learning Rate | Skyhighes | Data Science

    360. Learning Rate Schedules, or How to Choose the Optimal Learning Rate | Skyhighes | Data Science

    28
  9. 388. Business Case Learning and Interpreting the Result | Skyhighes | Data Science

    388. Business Case Learning and Interpreting the Result | Skyhighes | Data Science

    46
  10. 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

    43
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  11. 298. Machine Learning with Naïve Bayes (First Attempt) | Skyhighes | Data Science

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

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

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

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

    361. Learning Rate Schedules Visualized | Skyhighes | Data Science

    16
  16. 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
  20. 323. Optimization Algorithm 1-Parameter Gradient Descent | Skyhighes | Data Science

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

    3
  21. 322. Common Objective Functions Cross-Entropy Loss | Skyhighes | Data Science

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

    3
  22. 321. Common Objective Functions L2-norm Loss | Skyhighes | Data Science

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

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

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

    3
  25. 313. Introduction to Neural Networks | Skyhighes | Data Science

    313. Introduction to Neural Networks | Skyhighes | Data Science

    3