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  1. 204. Making Predictions with the Linear Regression | Skyhighes | Data Science

    204. Making Predictions with the Linear Regression | Skyhighes | Data Science

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

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

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

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

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  5. 414. Calculating the Accuracy of the Model | Skyhighes | Data Science

    414. Calculating the Accuracy of the Model | Skyhighes | Data Science

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  6. 207. Simple Linear Regression with sklearn | Skyhighes | Data Science

    207. Simple Linear Regression with sklearn | Skyhighes | Data Science

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

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

    5
  14. 353. Early Stopping or When to Stop Training | Skyhighes | Data Science

    353. Early Stopping or When to Stop Training | Skyhighes | Data Science

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  17. 363. Adam (Adaptive Moment Estimation) | Skyhighes | Data Science

    363. Adam (Adaptive Moment Estimation) | Skyhighes | Data Science

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

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

    5
  25. 39. A Practical Example of Combinatorics | Skyhighes | Data Science

    39. A Practical Example of Combinatorics | Skyhighes | Data Science

    7
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