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  1. 220. Predicting with the Standardized Coefficients | Skyhighes | Data Science

    220. Predicting with the Standardized Coefficients | Skyhighes | Data Science

    7
  2. 225. Practical Example Linear Regression (Part 2) | Skyhighes | Data Science

    225. Practical Example Linear Regression (Part 2) | Skyhighes | Data Science

    8
  3. 334. Types of File Formats Supporting TensorFlow | Skyhighes | Data Science

    334. Types of File Formats Supporting TensorFlow | Skyhighes | Data Science

    12
  5. 442. Checking the Content of the Data Set | Skyhighes | Data Science

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

    4
  7. 336. Interpreting the Result and Extracting the Weights and Bias | Skyhighes | Data Science

    336. Interpreting the Result and Extracting the Weights and Bias | Skyhighes | Data Science

    11
  9. 56. Discrete Distributions The Bernoulli Distribution | Skyhighes | Data Science

    56. Discrete Distributions The Bernoulli Distribution | Skyhighes | Data Science

    5
  10. 59. Characteristics of Continuous Distributions | Skyhighes | Data Science

    59. Characteristics of Continuous Distributions | Skyhighes | Data Science

    5
  13. 260. Pros and Cons of K-Means Clustering | Skyhighes | Data Science

    260. Pros and Cons of K-Means Clustering | Skyhighes | Data Science

    7
  14. 124. Test for the Mean. Population Variance Known | Skyhighes | Data Science

    124. Test for the Mean. Population Variance Known | Skyhighes | Data Science

    5
  16. 403. Actual Introduction to TensorFlow | Skyhighes | Data Science

    403. Actual Introduction to TensorFlow | Skyhighes | Data Science

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  17. 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
  19. 23. Finding the Job - What to Expect and What to Look for | Skyhighes | Data Science

    23. Finding the Job - What to Expect and What to Look for | Skyhighes | Data Science

    11
  21. 466. Extracting the Month Value from the Date Column | Skyhighes | Data Science

    466. Extracting the Month Value from the Date Column | Skyhighes | Data Science

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  22. 324. Optimization Algorithm n-Parameter Gradient Descent | Skyhighes | Data Science

    324. Optimization Algorithm n-Parameter Gradient Descent | Skyhighes | Data Science

    7
  24. 335. Outlining the Model with TensorFlow 2 | Skyhighes | Data Science

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

    9
  25. 383. Business Case Balancing the Dataset | Skyhighes | Data Science

    383. Business Case Balancing the Dataset | Skyhighes | Data Science

    11
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