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

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

    2
  4. 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
  6. 39. A Practical Example of Combinatorics | Skyhighes | Data Science

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

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  8. 37. Combinatorics in Real-Life The Lottery | Skyhighes | Data Science

    37. Combinatorics in Real-Life The Lottery | Skyhighes | Data Science

    7
  13. 488. Preparing the Deployment of the Model through a Module | Skyhighes | Data Science

    488. Preparing the Deployment of the Model through a Module | Skyhighes | Data Science

    7
  14. 441. Importing the Absenteeism Data in Python | Skyhighes | Data Science

    441. Importing the Absenteeism Data in Python | Skyhighes | Data Science

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  15. 370. MNIST How to Tackle the MNIST | Skyhighes | Data Science

    370. MNIST How to Tackle the MNIST | Skyhighes | Data Science

    13
  20. 355. Types of Simple Initializations | Skyhighes | Data Science

    355. Types of Simple Initializations | Skyhighes | Data Science

    9
  21. 313. Introduction to Neural Networks | Skyhighes | Data Science

    313. Introduction to Neural Networks | Skyhighes | Data Science

    6
  22. 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. 442. Checking the Content of the Data Set | Skyhighes | Data Science

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

    4