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  1. 236. Building a Logistic Regression | Skyhighes | Data Science

    236. Building a Logistic Regression | Skyhighes | Data Science

    8
  2. 241. What do the Odds Actually Mean | Skyhighes | Data Science

    241. What do the Odds Actually Mean | Skyhighes | Data Science

    9
  4. 220. Predicting with the Standardized Coefficients | Skyhighes | Data Science

    220. Predicting with the Standardized Coefficients | Skyhighes | Data Science

    7
  6. 212. Calculating the Adjusted R-Squared in sklearn | Skyhighes | Data Science

    212. Calculating the Adjusted R-Squared in sklearn | Skyhighes | Data Science

    7
  8. 462. Creating Checkpoints while Coding in Jupyter | Skyhighes | Data Science

    462. Creating Checkpoints while Coding in Jupyter | Skyhighes | Data Science

    8
  9. 473. Exploring the Problem with a Machine Learning Mindset | Skyhighes | Data Science

    473. Exploring the Problem with a Machine Learning Mindset | Skyhighes | Data Science

    32
  10. 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
  12. 475. Selecting the Inputs for the Logistic Regression | Skyhighes | Data Science

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

    2
  13. 324. Optimization Algorithm n-Parameter Gradient Descent | Skyhighes | Data Science

    324. Optimization Algorithm n-Parameter Gradient Descent | Skyhighes | Data Science

    7
  14. 323. Optimization Algorithm 1-Parameter Gradient Descent | Skyhighes | Data Science

    323. Optimization Algorithm 1-Parameter Gradient Descent | Skyhighes | Data Science

    8
  17. 251. Difference between Classification and Clustering | Skyhighes | Data Science

    251. Difference between Classification and Clustering | Skyhighes | Data Science

    7
  20. 45. Dependence and Independence of Sets | Skyhighes | Data Science

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

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

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

    7
  25. 258. How to Choose the Number of Clusters | Skyhighes | Data Science

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

    9