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Implementation of Logistic regression from scratch on the Kaggle's titanic dataset with added feature engineering performed on the dataset

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Logistic Regression

A complete impelementation of the Logistic regression classification algorithm

This algorithm is developed to solve Kaggle's Titanic problem using Logistic regression as the classifier. The algorithm employs feature engineering by the mean-std method.

Dataset can be found here

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Implementation of Logistic regression from scratch on the Kaggle's titanic dataset with added feature engineering performed on the dataset

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