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Titanic Survival Prediction Using Machine Learning

In this 1-hour long project-based course, we will predict titanic survivors’ using logistic regression and naïve bayes classifiers. The sinking of the Titanic is one of the key sad tragedies in history and it took place on April 15th, 1912. The numbers of survivors were low due to lack of lifeboats for all passengers. This practical guided project, we will analyze what sorts of people were likely to survive this tragedy with the power of machine learning. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

Status: Python Programming
Status: Feature Engineering
BeginnerGuided Project2 hours

Featured reviews

TG

5.0Reviewed Aug 10, 2023

Great course, highly recommended for people who are looking to get started and learn applying ML concepts on dataset.

BU

5.0Reviewed Jan 6, 2024

The professor is awesome and the project was very helpful to me!

All reviews

Showing: 4 of 4

Taruchit Goyal
5.0
Reviewed Aug 11, 2023
Barbara Ulitsky
5.0
Reviewed Jan 7, 2024
Burhanettin
5.0
Reviewed Aug 7, 2022
darshan kawalkar
3.0
Reviewed Jan 2, 2023