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  1. 21. [Hands-on] Logistic Regression - 3 | Skyhighes | Data Science & Machine Learning in Python

    21. [Hands-on] Logistic Regression - 3 | Skyhighes | Data Science & Machine Learning in Python

    19
  2. 1. Course Overview | Skyhighes | Data Science & Machine Learning in Python

    1. Course Overview | Skyhighes | Data Science & Machine Learning in Python

    12
  3. 16. [Theory] Random Forest Regression | Skyhighes | Data Science & Machine Learning in Python

    16. [Theory] Random Forest Regression | Skyhighes | Data Science & Machine Learning in Python

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  4. 7. [Hands-on] Training Model | Skyhighes | Data Science & Machine Learning in Python

    7. [Hands-on] Training Model | Skyhighes | Data Science & Machine Learning in Python

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  5. 3. Udemy Review Updates | Skyhighes | Data Science & Machine Learning in Python

    3. Udemy Review Updates | Skyhighes | Data Science & Machine Learning in Python

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  6. 8. [Hands-on] Predict Results | Skyhighes | Data Science & Machine Learning in Python

    8. [Hands-on] Predict Results | Skyhighes | Data Science & Machine Learning in Python

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  8. 17. [Hands-on] Random Forest Regression | Skyhighes | Data Science & Machine Learning in Python

    17. [Hands-on] Random Forest Regression | Skyhighes | Data Science & Machine Learning in Python

    2
  9. Student Work (Assignment) | COMP1405B Easy Graphics Python Task | Carleton University

    Student Work (Assignment) | COMP1405B Easy Graphics Python Task | Carleton University

    8
  10. Client Work (Assignment) | COMP1405B Assignment 01 -Python Programming | Carleton University

    Client Work (Assignment) | COMP1405B Assignment 01 -Python Programming | Carleton University

    5
  11. interesting facts about pandas that we must know

    interesting facts about pandas that we must know

    12
  12. Data Science Detailed Roadmap With the help of Ai

    Data Science Detailed Roadmap With the help of Ai

    52
  13. What's all about Data-Science

    What's all about Data-Science

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  14. 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

    40
  18. 33. Solving Variations without Repetition | Skyhighes | Data Science

    33. Solving Variations without Repetition | Skyhighes | Data Science

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  19. 297. Understanding Differences between Multinomial and Bernouilli Skyhighes | Data Science

    297. Understanding Differences between Multinomial and Bernouilli Skyhighes | Data Science

    20
  22. 211. Multiple Linear Regression with sklearn | Skyhighes | Data Science

    211. Multiple Linear Regression with sklearn | Skyhighes | Data Science

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  23. 316. The Linear Model (Linear Algebraic Version) | Skyhighes | Data Science

    316. The Linear Model (Linear Algebraic Version) | Skyhighes | Data Science

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  24. 430. Business Case A Comment on the Homework | Skyhighes | Data Science

    430. Business Case A Comment on the Homework | Skyhighes | Data Science

    10
  25. 413. MNIST Loss and Optimization Algorithm | Skyhighes | Data Science

    413. MNIST Loss and Optimization Algorithm | Skyhighes | Data Science

    12
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