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  2. 344. Activation Functions Softmax Activation | Skyhighes | Data Science

    344. Activation Functions Softmax Activation | Skyhighes | Data Science

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

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

    14
  5. 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
  7. 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
  8. 413. MNIST Loss and Optimization Algorithm | Skyhighes | Data Science

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

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

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

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

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

    2
  18. 55. Discrete Distributions The Uniform Distribution | Skyhighes | Data Science

    55. Discrete Distributions The Uniform Distribution | Skyhighes | Data Science

    4
  20. 398. An Overview of non-NN Approaches | Skyhighes | Data Science

    398. An Overview of non-NN Approaches | Skyhighes | Data Science

    36
  23. 384. Business Case Preprocessing the Data | Skyhighes | Data Science

    384. Business Case Preprocessing the Data | Skyhighes | Data Science

    17
  25. 509. Parameters and Arguments in pandas | Skyhighes | Data Science

    509. Parameters and Arguments in pandas | Skyhighes | Data Science

    24
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