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  2. 342. Non-Linearities and their Purpose | Skyhighes | Data Science

    342. Non-Linearities and their Purpose | Skyhighes | Data Science

    11
  3. 462. Creating Checkpoints while Coding in Jupyter | Skyhighes | Data Science

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

    8
  5. 306. Addition and Subtraction of Matrices | Skyhighes | Data Science

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

    15
  7. 206. How are we Going to Approach this Section | Skyhighes | Data Science

    206. How are we Going to Approach this Section | Skyhighes | Data Science

    7
  8. 321. Common Objective Functions L2-norm Loss | Skyhighes | Data Science

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

    6
  15. 293. Overcome Imbalanced Data in Machine Learning | Skyhighes | Data Science

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

    18
  16. 351. Training, Validation, and Test Datasets | Skyhighes | Data Science

    351. Training, Validation, and Test Datasets | Skyhighes | Data Science

    12
  17. 421. Business Case Outlining the Solution | Skyhighes | Data Science

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

    11
  19. 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
  21. 467. Extracting the Day of the Week from the Date Column | Skyhighes | Data Science

    467. Extracting the Day of the Week from the Date Column | Skyhighes | Data Science

    9
  22. 282. Marvels comic book database Intro to Regular Expressions (RegEx) | Skyhighes | Data Science

    282. Marvels comic book database Intro to Regular Expressions (RegEx) | Skyhighes | Data Science

    5
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