• KAVYA N C
• Mr. SRINIVASULU M

The sinking of the RMS Titanic is without a doubt one of the most infamous and horrific tragedies in history. Out of 2224 passengers and crew, the Titanic tragically sank on her maiden voyage and in the early hours of April 15, 1912, after colliding with an iceberg, killing almost 1502 of them. This made the ship one of the deadliest commercial ships in history up to that point. The laws governing ship safety have been toughened as a result of the horrific disaster that shocked the globe and caused it to feel profoundly sorry and scared. Thomas Andrews, the architect of the building, died in the disaster. It was a grim realisation following the sinking of the Titanic that certain persons had a higher chance of surviving than others. Child and mother priority had been given top priority. The Titanic was a prime example of the Titanic's time, which was the beginning of the 20th century and marked a severe division in socioeconomic groups. Exploratory data analytics (EDA) is utilised at the beginning and used to find facts that have been hidden or previously unknown in the existing data collection. After choosing several machine learning models, it is required to draw a conclusion about the study of which categories of people have a higher likelihood of surviving. After that, comparisons of the outcomes obtained by using different machine learning models were done based on precision.

Feature engineering, Machine learning, Data Science, Exploratory Analysis, Model Evaluation, Exploratory Data Analytics, Data mining, ggplot, Logistic Regression, Random Forest, Feature Engineering, Support Vector Machine, Confusion Matrix

"TITANIC SURVIVAL PREDICTION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 9, page no.b320-b327, September-2022, Available :http://www.jetir.org/papers/JETIR2209140.pdf

"TITANIC SURVIVAL PREDICTION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 9, page no. ppb320-b327, September-2022, Available at : http://www.jetir.org/papers/JETIR2209140.pdf