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  2. 367. Preprocessing Categorical Data | Skyhighes | Data Science

    367. Preprocessing Categorical Data | Skyhighes | Data Science

    11
  3. 381. Business Case Exploring the Dataset and Identifying Predictors | Skyhighes | Data Science

    381. Business Case Exploring the Dataset and Identifying Predictors | Skyhighes | Data Science

    12
  4. 393. Summary on What You've Learned | Skyhighes | Data Science

    393. Summary on What You've Learned | Skyhighes | Data Science

    18
  6. 372. MNIST Preprocess the Data - Create a Validation Set and Scale It | Skyhighes | Data Science

    372. MNIST Preprocess the Data - Create a Validation Set and Scale It | Skyhighes | Data Science

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

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

    8
  8. 322. Common Objective Functions Cross-Entropy Loss | Skyhighes | Data Science

    322. Common Objective Functions Cross-Entropy Loss | Skyhighes | Data Science

    6
  9. 321. Common Objective Functions L2-norm Loss | Skyhighes | Data Science

    321. Common Objective Functions L2-norm Loss | Skyhighes | Data Science

    6
  11. 319. Graphical Representation of Simple Neural Networks | Skyhighes | Data Science

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

    6
  12. 318. The Linear model with Multiple Inputs and Multiple Outputs | Skyhighes | Data Science

    318. The Linear model with Multiple Inputs and Multiple Outputs | Skyhighes | Data Science

    7
  13. 317. The Linear Model with Multiple Inputs | Skyhighes | Data Science

    317. The Linear Model with Multiple Inputs | Skyhighes | Data Science

    5
  14. 316. The Linear Model (Linear Algebraic Version) | Skyhighes | Data Science

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

    6
  15. 199. A3 Normality and Homoscedasticity | Skyhighes | Data Science

    199. A3 Normality and Homoscedasticity | Skyhighes | Data Science

    3
  19. 195. Test for Significance of the Model (F-Test) | Skyhighes | Data Science

    195. Test for Significance of the Model (F-Test) | Skyhighes | Data Science

    3
  22. 204. Making Predictions with the Linear Regression | Skyhighes | Data Science

    204. Making Predictions with the Linear Regression | Skyhighes | Data Science

    5
  24. 474. Creating the Targets for the Logistic Regression | Skyhighes | Data Science

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

    11
  25. 478. Fitting the Model and Assessing its Accuracy | Skyhighes | Data Science

    478. Fitting the Model and Assessing its Accuracy | Skyhighes | Data Science

    7