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

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

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

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

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  5. MailPal Demo: Boost your e-commerce sales with MAILPAL's unlimited email autoresponder.

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  6. Analytics Showdown: Adobe vs Google - Who Wins for Your Business?

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  7. Nucleo Analytics: Data-Driven Insights for Smarter Business Decisions

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

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

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

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  11. 510. Using .unique() and .nunique() | Skyhighes | Data Science

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  12. 312. What to Expect from this Part | Skyhighes | Data Science

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

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

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

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  16. 473. Exploring the Problem with a Machine Learning Mindset | Skyhighes | Data Science

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  17. 422. The Importance of Working with a Balanced Dataset | Skyhighes | Data Science

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

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