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Life Expectancy Prediction Using Machine Learning

In this hands-on project, we will train a Linear Regression model to predict life expectancy. The dataset was initially obtained from the World Health Organization (WHO) and United Nations Websites. Data contains features such as year, status, life expectancy, adult mortality, infant deaths, percentage of expenditure, and alcohol consumption.

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What's inside

Syllabus

Life Expectancy Prediction Using Machine Learning

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Develops understanding of life expectancy which is core to public health

Utilizes real-world dataset from WHO and United Nations

Emphasizes hands-on learning through project-based approach

Taught by Ryan Ahmed, an experienced instructor in data science and machine learning

Provides a solid understanding of linear regression, a fundamental technique in machine learning

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Life Expectancy Prediction Using Machine Learning with these activities:

Find a Mentor in the Field of Life Expectancy

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Having a mentor can provide you with valuable guidance and support as you learn about life expectancy prediction.

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Identify potential mentors who have expertise in life expectancy prediction.
Reach out to these individuals and introduce yourself.
Ask if they would be willing to mentor you.

Read 'The Determinants of Health', by Geoffrey Rose

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This book provides a comprehensive overview of the factors that influence life expectancy and will help you develop a deeper understanding of the topic.

View Epidemiology for the Uninitiated Paperback May... on Amazon

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Obtain a copy of the book.
Read through the book carefully, taking notes as you go.
Discuss the key concepts of the book with classmates or colleagues.

Practice Linear Regression Modeling

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Completing practice drills will help you develop your skills in applying linear regression models to predict life expectancy.

Browse courses on Linear Regression

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Find online resources or textbooks that provide practice problems for linear regression.
Work through these problems step-by-step, implementing the linear regression algorithm.
Compare your results to the provided solutions.

Three other activities

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Build a Life Expectancy Prediction Tool

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Creating a tool will provide you with hands-on experience in applying the concepts learned in the course to a practical problem.

Browse courses on Life Expectancy

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Gather and preprocess the necessary data for life expectancy prediction.
Train a linear regression model using the data.
Develop a user interface for the tool that allows users to input their own data and receive a prediction.

Volunteer at a Healthcare Organization

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Volunteering will provide you with real-world experience in the field of healthcare and exposure to the factors that affect life expectancy.

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Identify local healthcare organizations that you can volunteer with.
Contact the organizations and inquire about volunteer opportunities.
Attend training sessions and complete any necessary paperwork.
Participate in volunteer activities as assigned.

Contribute to a Life Expectancy Prediction Open-Source Project

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Contributing to an open-source project will allow you to apply your skills to a real-world project and collaborate with others in the field.

Browse courses on Life Expectancy

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Identify open-source projects related to life expectancy prediction.
Review the project documentation and codebase.
Identify an area where you can contribute your skills.
Submit a pull request with your contributions.

Career center

Learners who complete Life Expectancy Prediction Using Machine Learning will develop knowledge and skills that may be useful to these careers:

Data Scientist

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Machine Learning Engineer

Machine Learning Engineers build and maintain machine learning models that can solve real-world problems. This course can help you learn the skills needed to be a successful Machine Learning Engineer, such as how to design and implement machine learning algorithms, and how to evaluate and improve their performance. This course may be particularly useful if you are interested in using your machine learning skills to improve healthcare outcomes.

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Public Health Analyst

Public Health Analysts collect, analyze, and interpret data to improve the health of populations. This course can help you learn the skills needed to be a successful Public Health Analyst, such as how to design and conduct public health studies, and how to analyze and interpret data. This course may be particularly useful if you are interested in using your public health skills to improve healthcare outcomes.

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Health Policy Analyst

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Healthcare Administrator

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Medical Researcher

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Pharmacist

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Nurse

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Physician Assistant

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Healthcare Consultant

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Healthcare Manager

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Healthcare Educator

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Healthcare Informatics Specialist

Healthcare Informatics Specialists use technology to improve the delivery of healthcare. This course can help you learn the skills needed to be a successful Healthcare Informatics Specialist, such as how to use electronic health records, and how to develop and implement healthcare information systems. This course may be particularly useful if you are interested in using your healthcare informatics skills to improve healthcare outcomes.

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Reading list

We've selected 17 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Life Expectancy Prediction Using Machine Learning.

The Elements of Statistical Learning

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Provides a more advanced treatment of statistical learning methods, including more sophisticated models and algorithms. The book is widely used as a textbook in machine learning courses.

The Elements of Statistical Learning: Data Mining,...

Hardcover

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The Elements of Statistical Learning: Data Mining,...

Hardcover

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The Elements of Statistical Learning: Data Mining,...

Kindle Edition

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