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Auto Machine Learning (AutoML) Using AutoGluon

Hello everyone and welcome to this new hands-on project on AutoML with AutoGluon. In this project, we will use a power library known as AutoGluon to train several machine learning models to solve classification type problems. AutoGluon is the library behind Amazon web services autopilot, and it allows for quick prototyping of several powerful models using a few lines of code. You can add this project to your portfolio of projects which is essential for your next job interview.

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What's inside

Syllabus

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Develops machine learning modeling skills using a few lines of code, which is highly relevant to industry

Covers Amazon Web Service AutoPilot, which is widely used in industry

Enhances portfolio projects for job interviews

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Reviews summary

Practical automl with autogluon

According to students, this course offers a highly practical, hands-on introduction to AutoML with AutoGluon, making it a valuable addition to one's portfolio. Learners appreciate the clear explanations and concise structure, enabling quick skill acquisition. However, some found the pace rapid or the content too basic for in-depth theoretical understanding, suggesting it's best for those focused on direct application rather than comprehensive ML theory.

Best for beginners or those seeking quick practical AutoGluon application.

"I highly recommend this for anyone looking to quickly get started with AutoML."

"It's good for absolute beginners seeking quick practical skills, but I wouldn't recommend it for intermediate users expecting deep dives."

"This course is suitable if you just want to run code and apply AutoGluon, but not if you're looking for deeper learning into ML concepts."

"It helped me solidify my understanding of AutoGluon's core principles for rapid prototyping."

Delivers essential AutoGluon skills without excessive theoretical depth.

"This course is incredibly practical and straight to the point."

"It's concise and effective, a perfect gem for understanding AutoGluon's capabilities quickly."

"I appreciated that it's very focused and gets you up and running without unnecessary theory."

"It definitely adds value to a professional portfolio as it's so direct and useful."

Emphasizes hands-on application of AutoGluon for real-world problems.

"This course is incredibly practical and straight to the point. The hands-on project really cemented my understanding."

"I found it a good practical introduction to AutoGluon, and the project is well-designed."

"I loved the focus on a real-world classification problem; it made it very applicable and perfect for adding to my resume."

"The hands-on approach is fantastic. I got up and running quickly without unnecessary theory."

Pacing can be fast, with limited deep dives into underlying ML theory.

"I found the explanations clear, though sometimes a bit fast-paced if you're completely new to ML."

"I felt it was too basic. If you have some prior experience with machine learning, I think you might find it moves too quickly through concepts or lacks the depth."

"I was expecting more in-depth explanations of the underlying machine learning models; this course is more about using AutoGluon as a black box."

"I sometimes struggled with the fast pace and felt like some theoretical background was assumed, which might be challenging for newcomers."

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 Auto Machine Learning (AutoML) Using AutoGluon with these activities:

Review Python

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Reviews the basics of python, including data structures and techniques to solve and approach common problems related to data science

Browse courses on Python

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Revisit the basics of Python such as data types and control flow
Practice solving small programming problems using Python
Try to solve problems from various topics that you'll learn in the course

Revisit basic machine learning concepts

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Refreshes your understanding of fundamental machine learning concepts, ensuring you have a strong foundation before starting the course

Browse courses on Machine Learning

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Review key concepts such as supervised and unsupervised learning
Go through examples and case studies to reinforce your understanding

Follow beginner-friendly tutorials on AutoML

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Provides a gentle introduction to AutoML and its applications, helping you understand the core concepts before delving into the course material

Browse courses on AutoML

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Find beginner-friendly tutorials on AutoML
Follow the tutorials step-by-step, experimenting with different settings and datasets

Six other activities

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Attend meetups or conferences on AutoML

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Connects you with professionals in the field, exposing you to different perspectives and industry trends

Browse courses on AutoML

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Find local meetups or conferences related to AutoML
Attend the event and engage in discussions
Follow up with interesting contacts you make

Solve AutoML practice problems

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Provides hands-on experience with AutoML, reinforcing the concepts learned in the course and building your problem-solving skills

Browse courses on AutoML

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Find a collection of AutoML practice problems
Attempt to solve the problems using the techniques you've learned
Review your solutions and identify areas for improvement

Seek guidance from experienced AutoML professionals

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Connects you with experts who can provide personalized guidance, accelerate your learning, and support your career growth

Browse courses on AutoML

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Identify potential mentors who are experienced in AutoML
Reach out and introduce yourself
Schedule regular meetings to discuss your progress and seek advice

Build a simple AutoML project

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Provides an opportunity to apply your AutoML skills to a practical problem, deepening your understanding and enhancing your portfolio

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Identify a suitable problem or dataset for your project
Prepare and clean the data
Apply AutoML techniques to train and evaluate models
Write a report summarizing your findings and insights

Contribute to open-source AutoML projects

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Provides hands-on experience with real-world AutoML projects, promoting collaboration and deepening your technical skills

Browse courses on AutoML

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Identify open-source AutoML projects that align with your interests
Read the documentation and familiarize yourself with the project
Make contributions, such as fixing bugs or implementing new features

Attend hands-on AutoML workshops

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Provides an immersive learning experience where you can learn from experts, experiment with real-world datasets, and build practical skills

Browse courses on AutoML

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Find upcoming AutoML workshops
Register for the workshop and prepare accordingly
Actively participate in the workshop and engage with the instructors

Career center

Learners who complete Auto Machine Learning (AutoML) Using AutoGluon will develop knowledge and skills that may be useful to these careers:

Machine Learning Engineer

Machine Learning Engineers work with large datasets to develop and deploy machine learning models that can perform predictions or classifications. They may use libraries like AutoGluon to automate the process of model training and selection. This course provides a good foundation in using AutoGluon, which can be useful for those looking to enter this field.

See salaries and explore the career path for Machine Learning Engineer

Data Scientist

Data Scientists use machine learning and statistical techniques to extract insights from data. They may use libraries like AutoGluon to quickly prototype and evaluate different models. This course provides a good introduction to using AutoGluon, which can be useful for those looking to enter this field.

See salaries and explore the career path for Data Scientist

Software Engineer

Software Engineers design, develop, and maintain software systems. They may use libraries like AutoGluon to automate the process of model training and selection. This course provides a good foundation in using AutoGluon, which can be useful for those looking to enter this field.

See salaries and explore the career path for Software Engineer

Quantitative Analyst

Quantitative Analysts use mathematical and statistical models to analyze financial data. They may use libraries like AutoGluon to automate the process of model training and selection. This course provides a good foundation in using AutoGluon, which can be useful for those looking to enter this field.

See salaries and explore the career path for Quantitative Analyst

Business Analyst

Business Analysts use data to identify and solve business problems. They may use libraries like AutoGluon to automate the process of model training and selection. This course provides a good foundation in using AutoGluon, which can be useful for those looking to enter this field.

See salaries and explore the career path for Business Analyst

Data Engineer

Data Engineers design and build data pipelines that collect, process, and store data. They may use libraries like AutoGluon to automate the process of model training and selection. This course provides a good foundation in using AutoGluon, which can be useful for those looking to enter this field.

See salaries and explore the career path for Data Engineer

Product Manager

Product Managers define and manage the development of new products and features. They may use libraries like AutoGluon to evaluate the performance of new models. This course provides a good introduction to using AutoGluon, which can be useful for those looking to enter this field.

See salaries and explore the career path for Product Manager

Market Researcher

Market Researchers collect and analyze data to understand consumer behavior. They may use libraries like AutoGluon to automate the process of model training and selection. This course provides a good foundation in using AutoGluon, which can be useful for those looking to enter this field.

See salaries and explore the career path for Market Researcher

Biostatistician

Biostatisticians use statistical methods to analyze data in the field of biology and medicine. They may use libraries like AutoGluon to automate the process of model training and selection. This course provides a good foundation in using AutoGluon, which can be useful for those looking to enter this field.

See salaries and explore the career path for Biostatistician

Operations Research Analyst

Operations Research Analysts use mathematical and statistical models to solve problems in business and industry. They may use libraries like AutoGluon to automate the process of model training and selection. This course provides a good foundation in using AutoGluon, which can be useful for those looking to enter this field.

See salaries and explore the career path for Operations Research Analyst

Financial Analyst

Financial Analysts use financial data to make investment recommendations. They may use libraries like AutoGluon to automate the process of model training and selection. This course provides a good foundation in using AutoGluon, which can be useful for those looking to enter this field.

See salaries and explore the career path for Financial Analyst

Actuary

Actuaries use mathematical and statistical models to assess risk. They may use libraries like AutoGluon to automate the process of model training and selection. This course provides a good foundation in using AutoGluon, which can be useful for those looking to enter this field.

See salaries and explore the career path for Actuary

Risk Manager

Risk Managers identify and manage risks. They may use libraries like AutoGluon to automate the process of model training and selection. This course provides a good foundation in using AutoGluon, which can be useful for those looking to enter this field.

See salaries and explore the career path for Risk Manager

Statistician

Statisticians collect, analyze, and interpret data. They may use libraries like AutoGluon to automate the process of model training and selection. This course provides a good foundation in using AutoGluon, which can be useful for those looking to enter this field.

See salaries and explore the career path for Statistician

Data Analyst

Data Analysts use data to make informed decisions. They may use libraries like AutoGluon to automate the process of model training and selection. This course provides a good foundation in using AutoGluon, which can be useful for those looking to enter this field.

See salaries and explore the career path for Data Analyst

Reading list

We've selected nine 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 Auto Machine Learning (AutoML) Using AutoGluon .