sahar-hamdi / Logistic-Regression-from-Scratch-and-Cross-Validation-From-Scratch-

1. Load MNIST dataset. 2. Subset your data to use only class 0 and class1 for the next steps. 3. Standardize your dataset 4. Divide data into training and validation set using 10-fold cross validation method 5. Implement Logistic Regression with different values for learning rate 6. Report difference accuracy for the different learning rate.

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Logistic-Regression-from-Scratch-and-Cross-Validation-From-Scratch-

  1. Load MNIST dataset.
  2. Subset your data to use only class 0 and class1 for the next steps.
  3. Standardize your dataset
  4. Divide data into training and validation set using 10-fold cross validation method
  5. Implement Logistic Regression with different values for learning rate
  6. Report difference accuracy for the different learning rate.

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1. Load MNIST dataset. 2. Subset your data to use only class 0 and class1 for the next steps. 3. Standardize your dataset 4. Divide data into training and validation set using 10-fold cross validation method 5. Implement Logistic Regression with different values for learning rate 6. Report difference accuracy for the different learning rate.


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