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  2. 349. Underfitting and Overfitting for Classification | Skyhighes | Data Science

    349. Underfitting and Overfitting for Classification | Skyhighes | Data Science

    5
  4. 479. Creating a Summary Table with the Coefficients and Intercept | Skyhighes | Data Science

    479. Creating a Summary Table with the Coefficients and Intercept | Skyhighes | Data Science

    11
  5. 449. Analyzing the Reasons for Absence | Skyhighes | Data Science

    449. Analyzing the Reasons for Absence | Skyhighes | Data Science

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

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

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

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

    3
  9. 516. pandas DataFrames - Indexing with .iloc[] | Skyhighes | Data Science

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

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

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

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

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

    15
  13. 469. Analyzing Several Straightforward Columns for this Exercise | Skyhighes | Data Science

    469. Analyzing Several Straightforward Columns for this Exercise | Skyhighes | Data Science

    12
  14. 478. Fitting the Model and Assessing its Accuracy | Skyhighes | Data Science

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

    5
  15. 388. Business Case Learning and Interpreting the Result | Skyhighes | Data Science

    388. Business Case Learning and Interpreting the Result | Skyhighes | Data Science

    46
  16. 394. What's Further out there in terms of Machine Learning | Skyhighes | Data Science

    394. What's Further out there in terms of Machine Learning | Skyhighes | Data Science

    43
    1
  17. 432. What are Data, Servers, Clients, Requests, and Responses | Skyhighes | Data Science

    432. What are Data, Servers, Clients, Requests, and Responses | Skyhighes | Data Science

    5
  18. 470. Working on Education, Children, and Pets | Skyhighes | Data Science

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

    12
  19. 279. Exploratory data analysis - correlation matrix, outlier detec | Skyhighes | Data Science

    279. Exploratory data analysis - correlation matrix, outlier detec | Skyhighes | Data Science

    8
  20. 278. Exploratory data analysis - histogram and scatter plot | Skyhighes | Data Science

    278. Exploratory data analysis - histogram and scatter plot | Skyhighes | Data Science

    8
  21. 296. Reg Ex for Analyzing Text Review Data | Skyhighes | Data Science

    296. Reg Ex for Analyzing Text Review Data | Skyhighes | Data Science

    8
  22. 295. Optimizing User Reviews Data Preprocessing & EDA | Skyhighes | Data Science

    295. Optimizing User Reviews Data Preprocessing & EDA | Skyhighes | Data Science

    6
  23. 351. Training, Validation, and Test Datasets | Skyhighes | Data Science

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

    8
  25. 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