Predicting Survival in Titanic!

Photo by Boxed Water Is Better on Unsplash

Part — 1 : Data Cleaning

Getting Started

Importing data and getting a bird’s eye view

datasets being imported through Jupyter notebook
shape of imported datasets as shown in jupyter notebook
first 5 rows in the training dataset
the output has 0 and 1 as only unique value
code to combine the two datasets
code for checking NULL values in the combined dataset

Feature Engineering and EDA

Modification of existing and creation of new features with detailed analysis

adding the list as a new column and checking the output
distribution between male and female
information on the continuous variable Age
filling missing Age values for Females
filling missing Age values for Males
Scaling the Fare column plotting the output
  1. Data import
  2. Data merging
  3. Individual Feature Study
  4. Feature Engineering
  5. Feature Transformation



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Aditya Vyas

Aditya Vyas


Project Manager with 11 years of industry experience. Data Science enthusiast. Entrepreneur.