This example uses gradient descent to fit the model. It also contains a Scikit Learn's way of doing logistic regression, so we can compare the two implementations. A case study on using Logistic Regression. The dataset is from UCI machine learning repository. This ML algorithm is optimized by using K-fold and grid search and also comparison is shown in jupyter notebook dataset link
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A case study on using Logistic Regression. The dataset is from UCI machine learning repository. This ML algorithm is optimized by using K-fold and grid search and comparison is shown in notebook
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A case study on using Logistic Regression. The dataset is from UCI machine learning repository. This ML algorithm is optimized by using K-fold and grid search and comparison is shown in notebook
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