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

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

    14
  4. 142. Prerequisites for Coding in the Jupyter Notebooks | Skyhighes | Data Science

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

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

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

    11
  7. 344. Activation Functions Softmax Activation | Skyhighes | Data Science

    344. Activation Functions Softmax Activation | Skyhighes | Data Science

    7
  9. 294. Loading the Dataset and Preprocessing | Skyhighes | Data Science

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

    14
  10. 133. Test for the mean. Independent Samples (Part 2) | Skyhighes | Data Science

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

    8
  12. 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
  13. 413. MNIST Loss and Optimization Algorithm | Skyhighes | Data Science

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

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

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

    7
  19. 475. Selecting the Inputs for the Logistic Regression | Skyhighes | Data Science

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

    2
  25. 507. Working with Methods in Python - Part I | Skyhighes | Data Science

    507. Working with Methods in Python - Part I | Skyhighes | Data Science

    25
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