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  1. 413. MNIST Loss and Optimization Algorithm | Skyhighes | Data Science

    413. MNIST Loss and Optimization Algorithm | Skyhighes | Data Science

    8
  3. 430. Business Case A Comment on the Homework | Skyhighes | Data Science

    430. Business Case A Comment on the Homework | Skyhighes | Data Science

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  4. 23. Finding the Job - What to Expect and What to Look for | Skyhighes | Data Science

    23. Finding the Job - What to Expect and What to Look for | Skyhighes | Data Science

    10
  5. 294. Loading the Dataset and Preprocessing | Skyhighes | Data Science

    294. Loading the Dataset and Preprocessing | Skyhighes | Data Science

    4
  6. 386. Business Case Load the Preprocessed Data | Skyhighes | Data Science

    386. Business Case Load the Preprocessed Data | Skyhighes | Data Science

    12
  7. 454. More on Dummy Variables A Statistical Perspective | Skyhighes | Data Science

    454. More on Dummy Variables A Statistical Perspective | Skyhighes | Data Science

    9
  8. 382. Business Case Outlining the Solution | Skyhighes | Data Science

    382. Business Case Outlining the Solution | Skyhighes | Data Science

    3
  9. 445. Using a Statistical Approach towards the Solution to the Exercise | Skyhighes | Data Science

    445. Using a Statistical Approach towards the Solution to the Exercise | Skyhighes | Data Science

    29
  10. 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
  12. 462. Creating Checkpoints while Coding in Jupyter | Skyhighes | Data Science

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

    8
  13. 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
  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. 296. Reg Ex for Analyzing Text Review Data | Skyhighes | Data Science

    296. Reg Ex for Analyzing Text Review Data | Skyhighes | Data Science

    8
  16. 475. Selecting the Inputs for the Logistic Regression | Skyhighes | Data Science

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

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

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

    10
  18. 415. MNIST Batching and Early Stopping | Skyhighes | Data Science

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

    3
  20. 469. Analyzing Several Straightforward Columns for this Exercise | Skyhighes | Data Science

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

    12
  21. 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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  22. 293. Overcome Imbalanced Data in Machine Learning | Skyhighes | Data Science

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

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

    361. Learning Rate Schedules Visualized | Skyhighes | Data Science

    16
  25. 508. Working with Methods in Python - Part II | Skyhighes | Data Science

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

    20