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Logistic-Regression-with-Python-Part-1

Analyse the Titanic Data Set from Kaggle and predict a classification- survival or deceased

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Roughly 20 percent of the Age data is missing. The proportion of Age missing is likely small enough for reasonable replacement with some form of imputation. Looking at the Cabin column, it looks like we are just missing too much of that data to do something useful with at a basic level. We'll probably drop this later, or change it to another feature like "Cabin Known: 1 or 0"

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precision recall f1-score support

      0       0.81      0.93      0.86       163
      1       0.85      0.65      0.74       104

avg / total 0.82 0.82 0.81 267

Reference Material:https://www.udemy.com/share/101WaUB0scc1dQR34=/

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Analyse the Titanic Data Set from Kaggle and predict a classification- survival or deceased

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