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  1. 403. Actual Introduction to TensorFlow | Skyhighes | Data Science

    403. Actual Introduction to TensorFlow | Skyhighes | Data Science

    6
  2. 356. State-of-the-Art Method - (Xavier) Glorot Initialization | Skyhighes | Data Science

    356. State-of-the-Art Method - (Xavier) Glorot Initialization | Skyhighes | Data Science

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  3. 275. Analyzing a client database with ChatGPT in Python | Skyhighes | Data Science

    275. Analyzing a client database with ChatGPT in Python | Skyhighes | Data Science

    3
  6. 420. Business Case Getting Acquainted with the Dataset | Skyhighes | Data Science

    420. Business Case Getting Acquainted with the Dataset | Skyhighes | Data Science

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  7. 205. What is sklearn and How is it Different from Other Packages | Skyhighes | Data Science

    205. What is sklearn and How is it Different from Other Packages | Skyhighes | Data Science

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  8. 32. Solving Variations with Repetition | Skyhighes | Data Science

    32. Solving Variations with Repetition | Skyhighes | Data Science

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  12. 144. Numbers and Boolean Values in Python | Skyhighes | Data Science

    144. Numbers and Boolean Values in Python | Skyhighes | Data Science

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  13. 142. Prerequisites for Coding in the Jupyter Notebooks | Skyhighes | Data Science

    142. Prerequisites for Coding in the Jupyter Notebooks | Skyhighes | Data Science

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  14. 287. Ethical principles in data and AI utilization | Skyhighes | Data Science

    287. Ethical principles in data and AI utilization | Skyhighes | Data Science

    14
  16. 344. Activation Functions Softmax Activation | Skyhighes | Data Science

    344. Activation Functions Softmax Activation | Skyhighes | Data Science

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  17. 133. Test for the mean. Independent Samples (Part 2) | Skyhighes | Data Science

    133. Test for the mean. Independent Samples (Part 2) | Skyhighes | Data Science

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

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

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  20. 304. Arrays in Python - A Convenient Way To Represent Matrices | Skyhighes | Data Science

    304. Arrays in Python - A Convenient Way To Represent Matrices | Skyhighes | Data Science

    13
  23. 413. MNIST Loss and Optimization Algorithm | Skyhighes | Data Science

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

    12
  24. 478. Fitting the Model and Assessing its Accuracy | Skyhighes | Data Science

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

    7
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