1. 377. MNIST Select the Loss and the Optimizer | Skyhighes | Data Science

    377. MNIST Select the Loss and the Optimizer | Skyhighes | Data Science

    10
  2. 372. MNIST Preprocess the Data - Create a Validation Set and Scale It | Skyhighes | Data Science

    372. MNIST Preprocess the Data - Create a Validation Set and Scale It | Skyhighes | Data Science

    7
  3. 433. What are Data Connectivity, APIs, and Endpoints | Skyhighes | Data Science

    433. What are Data Connectivity, APIs, and Endpoints | Skyhighes | Data Science

    10
  4. 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
  5. 404. Types of File Formats, supporting Tensors | Skyhighes | Data Science

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

    12
  6. 488. Preparing the Deployment of the Model through a Module | Skyhighes | Data Science

    488. Preparing the Deployment of the Model through a Module | Skyhighes | Data Science

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

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

    19
  8. 296. Reg Ex for Analyzing Text Review Data | Skyhighes | Data Science

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

    10
  9. 229. Practical Example Linear Regression (Part 4) | Skyhighes | Data Science

    229. Practical Example Linear Regression (Part 4) | Skyhighes | Data Science

    7
  10. 225. Practical Example Linear Regression (Part 2) | Skyhighes | Data Science

    225. Practical Example Linear Regression (Part 2) | Skyhighes | Data Science

    8