Data Science Project -Predicting survival on the Titanic

In this data science project with Python, we will complete the analysis of what sorts of people were likely to survive.You will learn to use various machine learning tools to predict which passengers survived the tragedy.


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What will you learn

  • Understanding the problem statement

  • Importing the dataset and importing libraries

  • Performing basic EDA and checking for null values

  • Imputing the null values filling them using appropriate method

  • Statistics summaries using describe function

  • Encoding categorical variables

  • Using graphs to visualize data visually

  • Using groupby() function method to visualize the relationship between different data

  • How to use pivot tables

  • Understanding Overfitting and Cross Validation

  • Applying Logistic Regression for modeling

  • Using Cross Folds Validation to prevent overfitting

  • Making predictions for the test dataset

Project Description

The sinking of the RMS Titanic is one of the most infamous shipwrecks in history.  On April 15, 1912, during her maiden voyage, the Titanic sank after colliding with an iceberg, killing 1502 out of 2224 passengers and crew. This sensational tragedy shocked the international community and led to better safety regulations for ships.This data science project will give you introdcution on how to use Python to apply various machine learning techniques  to the RMS Titanic dataset and predict which passenger would have survived the tragedy.

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Curriculum For This Mini Project

04h 12m