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  1. 242. Binary Predictors in a Logistic Regression | Skyhighes | Data Science

    242. Binary Predictors in a Logistic Regression | Skyhighes | Data Science

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  2. 490. Deploying the 'absenteeism_module' - Part I | Skyhighes | Data Science

    490. Deploying the 'absenteeism_module' - Part I | Skyhighes | Data Science

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  3. 481. Standardizing only the Numerical Variables | Skyhighes | Data Science

    481. Standardizing only the Numerical Variables | Skyhighes | Data Science

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  4. 474. Creating the Targets for the Logistic Regression | Skyhighes | Data Science

    474. Creating the Targets for the Logistic Regression | Skyhighes | Data Science

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  5. 239. Understanding Logistic Regression Tables | Skyhighes | Data Science

    239. Understanding Logistic Regression Tables | Skyhighes | Data Science

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  7. 337. Customizing a TensorFlow 2 Model | Skyhighes | Data Science

    337. Customizing a TensorFlow 2 Model | Skyhighes | Data Science

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  8. 335. Outlining the Model with TensorFlow 2 | Skyhighes | Data Science

    335. Outlining the Model with TensorFlow 2 | Skyhighes | Data Science

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  9. 331. TensorFlow Outline and Comparison with Other Libraries | Skyhighes | Data Science

    331. TensorFlow Outline and Comparison with Other Libraries | Skyhighes | Data Science

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  12. 349. Underfitting and Overfitting for Classification | Skyhighes | Data Science

    349. Underfitting and Overfitting for Classification | Skyhighes | Data Science

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  14. 358. Problems with Gradient Descent | Skyhighes | Data Science

    358. Problems with Gradient Descent | Skyhighes | Data Science

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  15. 406. Basic NN Example with TF Loss Function and Gradient Descent | Skyhighes | Data Science

    406. Basic NN Example with TF Loss Function and Gradient Descent | Skyhighes | Data Science

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  16. 405. Basic NN Example with TF Inputs, Outputs, Targets, Weights, Biases | Skyhighes | Data Science

    405. Basic NN Example with TF Inputs, Outputs, Targets, Weights, Biases | Skyhighes | Data Science

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  17. 389. Business Case Setting an Early Stopping Mechanism | Skyhighes | Data Science

    389. Business Case Setting an Early Stopping Mechanism | Skyhighes | Data Science

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

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

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  19. 479. Creating a Summary Table with the Coefficients and Intercept | Skyhighes | Data Science

    479. Creating a Summary Table with the Coefficients and Intercept | Skyhighes | Data Science

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  20. 477. Splitting the Data for Training and Testing | Skyhighes | Data Science

    477. Splitting the Data for Training and Testing | Skyhighes | Data Science

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  22. 449. Analyzing the Reasons for Absence | Skyhighes | Data Science

    449. Analyzing the Reasons for Absence | Skyhighes | Data Science

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  23. 442. Checking the Content of the Data Set | Skyhighes | Data Science

    442. Checking the Content of the Data Set | Skyhighes | Data Science

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

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

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