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.
Titanic Survival Prediction Using Machine Learning
Learn, practice, and apply job-ready skills with expert guidance
4.8
(15 reviews)
Beginner level
Recommended experience
2 hours
Learn at your own pace
Hands-on learning
What you'll learn
Understand the theory and intuition behind logistic regression classifier models
Build, train and test a logistic regression classifier model in Scikit-Learn
Perform data cleaning, feature engineering and visualization
Details to know
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Taught in English
No downloads or installation required
Only available on desktop
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About this Guided Project
Learn step-by-step
In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:
Understand the Problem Statement and Business Case
Import Libraries and Datasets
Perform data visualization – Part 1
Perform data visualization – Part 2
Perform data cleaning and feature engineering
Train a logistic Regression classifier model
Evaluate a logistic regression classifier model
Recommended experience
Basic python programming and Machine Learning Knowledge
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Instructor
Offered by
How you'll learn
Skill-based, hands-on learning
Practice new skills by completing job-related tasks.
Expert guidance
Follow along with pre-recorded videos from experts using a unique side-by-side interface.
No downloads or installation required
Access the tools and resources you need in a pre-configured cloud workspace.
Available only on desktop
This Guided Project is designed for laptops or desktop computers with a reliable Internet connection, not mobile devices.
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Learner reviews
4.8
15 reviews
- 5 stars
86.66%
- 4 stars
6.66%
- 3 stars
6.66%
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Showing 3 of 15
BU
5
Reviewed on Jan 6, 2024
The professor is awesome and the project was very helpful to me!
TG
5
Reviewed on Aug 10, 2023
Great course, highly recommended for people who are looking to get started and learn applying ML concepts on dataset.
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Frequently asked questions
By purchasing a Guided Project, you'll get everything you need to complete the Guided Project including access to a cloud desktop workspace through your web browser that contains the files and software you need to get started, plus step-by-step video instruction from a subject matter expert.
Because your workspace contains a cloud desktop that is sized for a laptop or desktop computer, Guided Projects are not available on your mobile device.
Guided Project instructors are subject matter experts who have experience in the skill, tool or domain of their project and are passionate about sharing their knowledge to impact millions of learners around the world.