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  1. 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
  2. 159. Defining a Function in Python | Skyhighes | Data Science

    159. Defining a Function in Python | Skyhighes | Data Science

    11
  3. 141. Understanding Jupyter's Interface - the Notebook Dashboard | Skyhighes | Data Science

    141. Understanding Jupyter's Interface - the Notebook Dashboard | Skyhighes | Data Science

    12
  4. 342. Non-Linearities and their Purpose | Skyhighes | Data Science

    342. Non-Linearities and their Purpose | Skyhighes | Data Science

    11
  5. 45. Dependence and Independence of Sets | Skyhighes | Data Science

    45. Dependence and Independence of Sets | Skyhighes | Data Science

    8
  9. 260. Pros and Cons of K-Means Clustering | Skyhighes | Data Science

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

    7
  13. 174. Conditional Statements, Functions, and Loops | Skyhighes | Data Science

    174. Conditional Statements, Functions, and Loops | Skyhighes | Data Science

    5
  14. 180. Introduction to Regression Analysis | Skyhighes | Data Science

    180. Introduction to Regression Analysis | Skyhighes | Data Science

    7
  16. 344. Activation Functions Softmax Activation | Skyhighes | Data Science

    344. Activation Functions Softmax Activation | Skyhighes | Data Science

    7
  18. 227. Practical Example Linear Regression (Part 3) | Skyhighes | Data Science

    227. Practical Example Linear Regression (Part 3) | Skyhighes | Data Science

    6
  20. 244. Calculating the Accuracy of the Model | Skyhighes | Data Science

    244. Calculating the Accuracy of the Model | Skyhighes | Data Science

    11
  22. 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
  24. 351. Training, Validation, and Test Datasets | Skyhighes | Data Science

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

    12