/EDA-Titanic-survival-prediction-using-RandomForestClassifier

A project that predicts whether a passenger survived the Titanic accident or not.

Primary LanguageJupyter Notebook

EDA-Titanic-survival-prediction-using-RandomForestClassifier

1. Problem definition:

using machine learning to create a model that predicts which passengers survived the Titanic shipwreck.

2. Data

The data for the project is gotten from the legendary Titanic ML competition on kaggle. check the link https://www.kaggle.com/c/titanic/data . The data has been split into two group:

  • training set (train.csv)
  • test set (test.csv)

Dependencies

  • Pandas, numpy, matplotlib, scikit-learn and python

Accuracy score: we got an accuracy score of 81%