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Code & Dataset
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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
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.