All Videos Channels
  1. 142. Prerequisites for Coding in the Jupyter Notebooks | Skyhighes | Data Science

    142. Prerequisites for Coding in the Jupyter Notebooks | Skyhighes | Data Science

    12
  2. 287. Ethical principles in data and AI utilization | Skyhighes | Data Science

    287. Ethical principles in data and AI utilization | Skyhighes | Data Science

    14
  4. 344. Activation Functions Softmax Activation | Skyhighes | Data Science

    344. Activation Functions Softmax Activation | Skyhighes | Data Science

    7
  5. 133. Test for the mean. Independent Samples (Part 2) | Skyhighes | Data Science

    133. Test for the mean. Independent Samples (Part 2) | Skyhighes | Data Science

    8
  7. 294. Loading the Dataset and Preprocessing | Skyhighes | Data Science

    294. Loading the Dataset and Preprocessing | Skyhighes | Data Science

    14
  10. 413. MNIST Loss and Optimization Algorithm | Skyhighes | Data Science

    413. MNIST Loss and Optimization Algorithm | Skyhighes | Data Science

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

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

    7
  14. 475. Selecting the Inputs for the Logistic Regression | Skyhighes | Data Science

    475. Selecting the Inputs for the Logistic Regression | Skyhighes | Data Science

    2
  20. 388. Business Case Learning and Interpreting the Result | Skyhighes | Data Science

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

    53
  21. 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
  23. 517. pandas DataFrames - Indexing with .loc[] | Skyhighes | Data Science

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

    31
Prev Next