1. 403. Actual Introduction to TensorFlow | Skyhighes | Data Science

    403. Actual Introduction to TensorFlow | Skyhighes | Data Science

    6
  2. 516. pandas DataFrames - Indexing with .iloc[] | Skyhighes | Data Science

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

    19
  3. 283. Decoding comic book data Python Regular Expressions and ChatGPT | Skyhighes | Data Science

    283. Decoding comic book data Python Regular Expressions and ChatGPT | Skyhighes | Data Science

    5
  4. 282. Marvels comic book database Intro to Regular Expressions (RegEx) | Skyhighes | Data Science

    282. Marvels comic book database Intro to Regular Expressions (RegEx) | Skyhighes | Data Science

    5
  5. 477. Splitting the Data for Training and Testing | Skyhighes | Data Science

    477. Splitting the Data for Training and Testing | Skyhighes | Data Science

    12
  6. 466. Extracting the Month Value from the Date Column | Skyhighes | Data Science

    466. Extracting the Month Value from the Date Column | Skyhighes | Data Science

    12
  7. 297. Understanding Differences between Multinomial and Bernouilli Skyhighes | Data Science

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

    10
  8. 517. pandas DataFrames - Indexing with .loc[] | Skyhighes | Data Science

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

    21
  9. 509. Parameters and Arguments in pandas | Skyhighes | Data Science

    509. Parameters and Arguments in pandas | Skyhighes | Data Science

    14
  10. 465. Analyzing the Dates from the Initial Data Set | Skyhighes | Data Science

    465. Analyzing the Dates from the Initial Data Set | Skyhighes | Data Science

    12
  11. 462. Creating Checkpoints while Coding in Jupyter | Skyhighes | Data Science

    462. Creating Checkpoints while Coding in Jupyter | Skyhighes | Data Science

    8
  12. 473. Exploring the Problem with a Machine Learning Mindset | Skyhighes | Data Science

    473. Exploring the Problem with a Machine Learning Mindset | Skyhighes | Data Science

    32
  13. 485. Saving the Model and Preparing it for Deployment | Skyhighes | Data Science

    485. Saving the Model and Preparing it for Deployment | Skyhighes | Data Science

    6
  14. 483. Backward Elimination or How to Simplify Your Model | Skyhighes | Data Science

    483. Backward Elimination or How to Simplify Your Model | Skyhighes | Data Science

    6
  15. 422. The Importance of Working with a Balanced Dataset | Skyhighes | Data Science

    422. The Importance of Working with a Balanced Dataset | Skyhighes | Data Science

    8
  16. 508. Working with Methods in Python - Part II | Skyhighes | Data Science

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

    20
  17. 490. Deploying the 'absenteeism_module' - Part I | Skyhighes | Data Science

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

    5
  18. 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