Titanic 🚢 - Exploratory Data Analysis 🔎

Model used - Linear Regression

Objective 🎯 - To analyze the depth in tragic loss of people during the crash and analyse factors that had correlations.

Quick links 🔗:

Dataset from Kaggle

Python Jupyter Notebook contains all analysis and visualization charts.

Implementation Overview :

1. Data cleaning
2. Data wrangling
3. Data Analysis

Analysis 🔍:

1. Only 38 % people survived the crash.
2. A group of older people of age above 45 didnt make it from the crash.
3. Women and kids left early before the accident, huge percentage of men had lost their lives.
4. Created linear regression model and fitted data. Train and test data into 80/20 split.Target was to predict the chances of survival (0-died,1-survived) from features (age,sex,fare).Included fare as feature since rooms positions differed according to their ticket classes and room of third class ticket was way down for a person to escape during accident.
5. Regression model had accuracy of 77 % prediction when validated with real data.