1. 336. Interpreting the Result and Extracting the Weights and Bias | Skyhighes | Data Science

    336. Interpreting the Result and Extracting the Weights and Bias | Skyhighes | Data Science

    11
  2. 56. Discrete Distributions The Bernoulli Distribution | Skyhighes | Data Science

    56. Discrete Distributions The Bernoulli Distribution | Skyhighes | Data Science

    5
  3. 59. Characteristics of Continuous Distributions | Skyhighes | Data Science

    59. Characteristics of Continuous Distributions | Skyhighes | Data Science

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

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

    7
  5. 356. State-of-the-Art Method - (Xavier) Glorot Initialization | Skyhighes | Data Science

    356. State-of-the-Art Method - (Xavier) Glorot Initialization | Skyhighes | Data Science

    5
  6. 275. Analyzing a client database with ChatGPT in Python | Skyhighes | Data Science

    275. Analyzing a client database with ChatGPT in Python | Skyhighes | Data Science

    3
  7. 388. Business Case Learning and Interpreting the Result | Skyhighes | Data Science

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

    53
  8. 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
  9. 517. pandas DataFrames - Indexing with .loc[] | Skyhighes | Data Science

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

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

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

    19
  11. 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
  12. 404. Types of File Formats, supporting Tensors | Skyhighes | Data Science

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

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

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

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

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

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

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

    5
  16. 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
  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

    6