All Videos Channels
  1. 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

    12
  2. 202. Dealing with Categorical Data - Dummy Variables | Skyhighes | Data Science

    202. Dealing with Categorical Data - Dummy Variables | Skyhighes | Data Science

    5
  3. 517. pandas DataFrames - Indexing with .loc[] | Skyhighes | Data Science

    517. pandas DataFrames - Indexing with .loc[] | Skyhighes | Data Science

    21
  4. 516. pandas DataFrames - Indexing with .iloc[] | Skyhighes | Data Science

    516. pandas DataFrames - Indexing with .iloc[] | Skyhighes | Data Science

    18
  5. 512. Introduction to pandas DataFrames - Part I | Skyhighes | Data Science

    512. Introduction to pandas DataFrames - Part I | Skyhighes | Data Science

    11
  6. 507. Working with Methods in Python - Part I | Skyhighes | Data Science

    507. Working with Methods in Python - Part I | Skyhighes | Data Science

    15
  8. 501. Introduction to Nested For Loops | Skyhighes | Data Science

    501. Introduction to Nested For Loops | Skyhighes | Data Science

    11
  9. 297. Understanding Differences between Multinomial and Bernouilli Skyhighes | Data Science

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

    6
  11. 415. MNIST Batching and Early Stopping | Skyhighes | Data Science

    415. MNIST Batching and Early Stopping | Skyhighes | Data Science

    3
  13. 480. Interpreting the Coefficients for Our Problem | Skyhighes | Data Science

    480. Interpreting the Coefficients for Our Problem | Skyhighes | Data Science

    3
  14. 508. Working with Methods in Python - Part II | Skyhighes | Data Science

    508. Working with Methods in Python - Part II | Skyhighes | Data Science

    20
  15. 470. Working on Education, Children, and Pets | Skyhighes | Data Science

    470. Working on Education, Children, and Pets | Skyhighes | Data Science

    12
  17. 361. Learning Rate Schedules Visualized | Skyhighes | Data Science

    361. Learning Rate Schedules Visualized | Skyhighes | Data Science

    16
  18. 242. Binary Predictors in a Logistic Regression | Skyhighes | Data Science

    242. Binary Predictors in a Logistic Regression | Skyhighes | Data Science

    5
  19. 260. Pros and Cons of K-Means Clustering | Skyhighes | Data Science

    260. Pros and Cons of K-Means Clustering | Skyhighes | Data Science

    4
  20. 258. How to Choose the Number of Clusters | Skyhighes | Data Science

    258. How to Choose the Number of Clusters | Skyhighes | Data Science

    4
  21. 490. Deploying the 'absenteeism_module' - Part I | Skyhighes | Data Science

    490. Deploying the 'absenteeism_module' - Part I | Skyhighes | Data Science

    5
  22. 481. Standardizing only the Numerical Variables | Skyhighes | Data Science

    481. Standardizing only the Numerical Variables | Skyhighes | Data Science

    4
  23. 474. Creating the Targets for the Logistic Regression | Skyhighes | Data Science

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

    3
  24. 351. Training, Validation, and Test Datasets | Skyhighes | Data Science

    351. Training, Validation, and Test Datasets | Skyhighes | Data Science

    8
  25. 239. Understanding Logistic Regression Tables | Skyhighes | Data Science

    239. Understanding Logistic Regression Tables | Skyhighes | Data Science

    3