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  1. 10. [Theory] Multiple Linear Regression | Skyhighes | Data Science & Machine Learning in Python

    10. [Theory] Multiple Linear Regression | Skyhighes | Data Science & Machine Learning in Python

    6
  2. 15. [Hands-on] Decision Tree Regression | Skyhighes | Data Science & Machine Learning in Python

    15. [Hands-on] Decision Tree Regression | Skyhighes | Data Science & Machine Learning in Python

    5
  3. 11. [Hands-on] Multiple Linear Regression | Skyhighes | Data Science & Machine Learning in Python

    11. [Hands-on] Multiple Linear Regression | Skyhighes | Data Science & Machine Learning in Python

    5
  4. 23. [Hands-on] K Nearest Neighbors | Skyhighes | Data Science & Machine Learning in Python

    23. [Hands-on] K Nearest Neighbors | Skyhighes | Data Science & Machine Learning in Python

    6
  5. 28. [Theory] Random Forest | Skyhighes | Data Science & Machine Learning in Python

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

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  6. 26.[Theory] Decision Tree Classification | Skyhighes | Data Science & Machine Learning in Python

    26.[Theory] Decision Tree Classification | Skyhighes | Data Science & Machine Learning in Python

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  7. 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

    6
  8. How to take user input for List and Nested List using For Loop and List comprehension in Python

    How to take user input for List and Nested List using For Loop and List comprehension in Python

    11
  9. Python Full Course

    Python Full Course

    2
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    50
  10. Introduction to Programming & Python | Python Tutorial - Day #1

    Introduction to Programming & Python | Python Tutorial - Day #1

    12
  11. 6. [Hands-on] Data Pre-Processing | Skyhighes | Data Science & Machine Learning in Python

    6. [Hands-on] Data Pre-Processing | Skyhighes | Data Science & Machine Learning in Python

    2
  12. Overview Python Data Structures & Algorithms + LEETCODE Exercises Course

    Overview Python Data Structures & Algorithms + LEETCODE Exercises Course

    119
  13. 360. Learning Rate Schedules, or How to Choose the Optimal Learning Rate | Skyhighes | Data Science

    360. Learning Rate Schedules, or How to Choose the Optimal Learning Rate | Skyhighes | Data Science

    33
  14. 362. Adaptive Learning Rate Schedules (AdaGrad and RMSprop ) | Skyhighes | Data Science

    362. Adaptive Learning Rate Schedules (AdaGrad and RMSprop ) | Skyhighes | Data Science

    24
  15. 361. Learning Rate Schedules Visualized | Skyhighes | Data Science

    361. Learning Rate Schedules Visualized | Skyhighes | Data Science

    19
  16. 367. Preprocessing Categorical Data | Skyhighes | Data Science

    367. Preprocessing Categorical Data | Skyhighes | Data Science

    10
  17. 358. Problems with Gradient Descent | Skyhighes | Data Science

    358. Problems with Gradient Descent | Skyhighes | Data Science

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  21. 407. Basic NN Example with TF Model Output | Skyhighes | Data Science

    407. Basic NN Example with TF Model Output | Skyhighes | Data Science

    18
  22. 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

    18
  23. 405. Basic NN Example with TF Inputs, Outputs, Targets, Weights, Biases | Skyhighes | Data Science

    405. Basic NN Example with TF Inputs, Outputs, Targets, Weights, Biases | Skyhighes | Data Science

    28
  24. 398. An Overview of non-NN Approaches | Skyhighes | Data Science

    398. An Overview of non-NN Approaches | Skyhighes | Data Science

    16
  25. 363. Adam (Adaptive Moment Estimation) | Skyhighes | Data Science

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

    6