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

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

    53
  2. 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

    46
  4. 517. pandas DataFrames - Indexing with .loc[] | Skyhighes | Data Science

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

    31
  7. 516. pandas DataFrames - Indexing with .iloc[] | Skyhighes | Data Science

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

    19
  9. 160. How to Create a Function with a Parameter | Skyhighes | Data Science

    160. How to Create a Function with a Parameter | Skyhighes | Data Science

    8
  10. 404. Types of File Formats, supporting Tensors | Skyhighes | Data Science

    404. Types of File Formats, supporting Tensors | Skyhighes | Data Science

    12
  11. 258. How to Choose the Number of Clusters | Skyhighes | Data Science

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

    9
  13. 58. Discrete Distributions The Poisson Distribution | Skyhighes | Data Science

    58. Discrete Distributions The Poisson Distribution | Skyhighes | Data Science

    5
  14. 63. Continuous Distributions The Chi-Squared Distribution | Skyhighes | Data Science

    63. Continuous Distributions The Chi-Squared Distribution | Skyhighes | Data Science

    5
  15. 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
  16. 432. What are Data, Servers, Clients, Requests, and Responses | Skyhighes | Data Science

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

    6
  20. 15. Business Intelligence (BI) Techniques | Skyhighes | Data Science

    15. Business Intelligence (BI) Techniques | Skyhighes | Data Science

    14
  21. 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

    46
    1
  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

    40
  24. 13. Techniques for Working with Big Data | Skyhighes | Data Science

    13. Techniques for Working with Big Data | Skyhighes | Data Science

    13
  25. 22. Necessary Programming Languages and Software Used in Data Science | Skyhighes | Data Science

    22. Necessary Programming Languages and Software Used in Data Science | Skyhighes | Data Science

    19
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