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  1. 319. Graphical Representation of Simple Neural Networks | Skyhighes | Data Science

    319. Graphical Representation of Simple Neural Networks | Skyhighes | Data Science

    6
  2. 474. Creating the Targets for the Logistic Regression | Skyhighes | Data Science

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

    11
  4. 277. Analyzing a client database – analyzing top clients, RFM | Skyhighes | Data Science

    277. Analyzing a client database – analyzing top clients, RFM | Skyhighes | Data Science

    3
  5. 271. Traditional data science methods and the role of ChatGPT | Skyhighes | Data Science

    271. Traditional data science methods and the role of ChatGPT | Skyhighes | Data Science

    3
  6. 261. To Standardize or not to Standardize | Skyhighes | Data Science

    261. To Standardize or not to Standardize | Skyhighes | Data Science

    3
  8. 51. A Practical Example of Bayesian Inference | Skyhighes | Data Science

    51. A Practical Example of Bayesian Inference | Skyhighes | Data Science

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  10. 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
  12. 146. Using Arithmetic Operators in Python | Skyhighes | Data Science

    146. Using Arithmetic Operators in Python | Skyhighes | Data Science

    9
  13. 450. Obtaining Dummies from a Single Feature | Skyhighes | Data Science

    450. Obtaining Dummies from a Single Feature | Skyhighes | Data Science

    10
  14. 433. What are Data Connectivity, APIs, and Endpoints | Skyhighes | Data Science

    433. What are Data Connectivity, APIs, and Endpoints | Skyhighes | Data Science

    10
  15. 383. Business Case Balancing the Dataset | Skyhighes | Data Science

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

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  17. 377. MNIST Select the Loss and the Optimizer | Skyhighes | Data Science

    377. MNIST Select the Loss and the Optimizer | Skyhighes | Data Science

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

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

    20
  21. 324. Optimization Algorithm n-Parameter Gradient Descent | Skyhighes | Data Science

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

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

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

    9
  25. 219. Feature Selection through Standardization of Weights | Skyhighes | Data Science

    219. Feature Selection through Standardization of Weights | Skyhighes | Data Science

    5
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