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Deep Learning By Example by Ahmed Menshawy

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Data analysis – supervised machine learning

The purpose of this analysis is to predict the survivors. So, the outcome will be survived or not, which is a binary classification problem; in it, you have only two possible classes.

There are lots of learning algorithms that we can use for binary classification problems. Logistic regression is one of them. As explained by Wikipedia:

In statistics, logistic regression or logit regression is a type of regression analysis used for predicting the outcome of a categorical dependent variable (a dependent variable that can take on a limited number of values, whose magnitudes are not meaningful but whose ordering of magnitudes may or may not be meaningful) based on one or more predictor variables. That ...

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