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

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

    7
  2. 56. Discrete Distributions The Bernoulli Distribution | Skyhighes | Data Science

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

    5
  3. 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
  4. 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
  5. 205. What is sklearn and How is it Different from Other Packages | Skyhighes | Data Science

    205. What is sklearn and How is it Different from Other Packages | Skyhighes | Data Science

    12
  6. 32. Solving Variations with Repetition | Skyhighes | Data Science

    32. Solving Variations with Repetition | Skyhighes | Data Science

    12
  7. 144. Numbers and Boolean Values in Python | Skyhighes | Data Science

    144. Numbers and Boolean Values in Python | Skyhighes | Data Science

    11
  8. 287. Ethical principles in data and AI utilization | Skyhighes | Data Science

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

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

    344. Activation Functions Softmax Activation | Skyhighes | Data Science

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

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

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

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

    12
  12. 475. Selecting the Inputs for the Logistic Regression | Skyhighes | Data Science

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

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  13. 293. Overcome Imbalanced Data in Machine Learning | Skyhighes | Data Science

    293. Overcome Imbalanced Data in Machine Learning | Skyhighes | Data Science

    18
  14. 351. Training, Validation, and Test Datasets | Skyhighes | Data Science

    351. Training, Validation, and Test Datasets | Skyhighes | Data Science

    12