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Build a Machine Learning Image Classifier with Python
Ikechukwu Nigel Ogbuchi
Ikechukwu Nigel Ogbuchi
In this 1-hour long project-based course, you will learn how to build your own Machine Learning Image Classifier using Python and Colab. You will be able to easily load the data, preview it, process and normalize it, then train and test your model! I hope you enjoy the experience!
Read more
In this 1-hour long project-based course, you will learn how to build your own Machine Learning Image Classifier using Python and Colab. You will be able to easily load the data, preview it, process and normalize it, then train and test your model! I hope you enjoy the experience!
Read more
In this 1-hour long project-based course, you will learn how to build your own Machine Learning Image Classifier using Python and Colab. You will be able to easily load the data, preview it, process and normalize it, then train and test your model! I hope you enjoy the experience!
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.
Register for this course and see more details by visiting:
OpenCourser.com/course/bd59wx/build
What's inside
Syllabus
Project Overview
By the end of this project, you will have built your own machine learning image classifier using python with Colaboratory which allows anybody to write and execute arbitrary python code through the browser. You will learn about how to load data, visualize it and preprocess it. Then you will train and test this model on the test set and your own custom image.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Builds a strong foundation for learners by introducing the basics of machine learning image classification
Develops skills in applying Python for image classification tasks
Provides hands-on training through interactive Jupyter Notebooks
Suitable for learners interested in exploring the fundamentals of machine learning image classification
Requirement to be based in the North America region may limit accessibility for some learners
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Save Build a Machine Learning Image Classifier with Python to your list so you can find it easily later:
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Reviews summary
Machine learning image classifier
According to learners, coding and model training are covered in this course. Students also learn about image layouts and input shaping. In particular, learners seem to appreciate that the instructor explains concepts clearly and that assignments are engaging, but some students say that the course moves too quickly.
Assignments are interesting.
"Assignments are engaging"
"I enjoy doing the assignments"
"Assignments are challenging but fair."
Instructor presents concepts clearly.
"Very clear explanations by the instructor"
"Instructor is an excellent communicator"
"I understand concepts better now thanks to the instructor's explanations."
Instructor is not involved enough.
"Lack of instructor involvement"
"Instructor is not very responsive"
"I wish the instructor was more involved."
Course moves too quickly.
"Course moves too quickly"
"I wish the course was a bit slower"
"I had to spend extra time to catch up."
Activities
Coming soon
We're preparing activities for
Build a Machine Learning Image Classifier with Python.
These are activities you can do either before, during, or after a course.
Career center
Learners who complete Build a Machine Learning Image Classifier with Python will develop knowledge and skills
that may be useful to these careers:
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers are responsible for the development and maintenance of machine learning models. This course will give you the skills you need to build your own image classifier, a valuable tool for many different industries. Whether you are looking to enter or advance your career as a Machine Learning Engineer, this course may be useful.
Sales Manager
Sales Manager
Sales Managers use machine learning to improve their sales process. This course will teach you how to build a machine learning image classifier, a valuable tool for any Sales Manager. Whether you are looking to enter or advance your career as a Sales Manager, this course may be useful.
Data Scientist
Data Scientist
To succeed as a Data Scientist, it is vital to be able to build and use different machine learning models. This course not only teaches you how to build a machine learning image classifier, but it also provides a solid foundation in loading, visualizing, and preprocessing data. If you want to start or advance your career as a Data Scientist, this course may be useful.
Business Analyst
Business Analyst
Business Analysts use machine learning to improve business processes. This course will teach you how to build a machine learning image classifier, a valuable tool for any Business Analyst. Whether you are looking to enter or advance your career as a Business Analyst, this course may be useful.
Software Engineer
Software Engineer
Software Engineers often use machine learning to improve their applications. This course will teach you how to build a machine learning image classifier, a valuable skill for any Software Engineer. Whether you are looking to enter or advance your career as a Software Engineer, this course may be useful.
Data Analyst
Data Analyst
Data Analysts use machine learning to uncover patterns and trends in data. This course will teach you how to build a machine learning image classifier, a valuable tool for any Data Analyst. Whether you are looking to enter or advance your career as a Data Analyst, this course may be useful.
Financial Analyst
Financial Analyst
Financial Analysts use machine learning to make investment decisions. This course will teach you how to build a machine learning image classifier, a valuable tool for any Financial Analyst. Whether you are looking to enter or advance your career as a Financial Analyst, this course may be useful.
Product Manager
Product Manager
Product Managers use machine learning to improve their products. This course will teach you how to build a machine learning image classifier, a valuable tool for any Product Manager. Whether you are looking to enter or advance your career as a Product Manager, this course may be useful.
Operations Manager
Operations Manager
Operations Managers use machine learning to improve their operations. This course will teach you how to build a machine learning image classifier, a valuable tool for any Operations Manager. Whether you are looking to enter or advance your career as an Operations Manager, this course may be useful.
Quantitative Analyst
Quantitative Analyst
Quantitative Analysts use machine learning to make predictions about financial markets. This course will teach you how to build a machine learning image classifier, a valuable tool for any Quantitative Analyst. Whether you are looking to enter or advance your career as a Quantitative Analyst, this course may be useful.
UX Researcher
UX Researcher
UX Researchers use machine learning to improve user experience. This course will teach you how to build a machine learning image classifier, a valuable tool for any UX Researcher. Whether you are looking to enter or advance your career as a UX Researcher, this course may be useful.
Education Researcher
Education Researcher
Education Researchers use machine learning to improve educational outcomes. This course will teach you how to build a machine learning image classifier, a valuable tool for any Education Researcher. Whether you are looking to enter or advance your career as an Education Researcher, this course may be useful.
Social Scientist
Social Scientist
Social Scientists use machine learning to understand human behavior. This course will teach you how to build a machine learning image classifier, a valuable tool for any Social Scientist. Whether you are looking to enter or advance your career as a Social Scientist, this course may be useful.
Marketing Manager
Marketing Manager
Marketing Managers use machine learning to target their marketing campaigns. This course will teach you how to build a machine learning image classifier, a valuable tool for any Marketing Manager. Whether you are looking to enter or advance your career as a Marketing Manager, this course may be useful.
Healthcare Analyst
Healthcare Analyst
Healthcare Analysts use machine learning to improve patient care. This course will teach you how to build a machine learning image classifier, a valuable tool for any Healthcare Analyst. Whether you are looking to enter or advance your career as a Healthcare Analyst, this course may be useful.
For more career information including salaries, visit:
OpenCourser.com/course/bd59wx/build
Reading list
We've selected 13 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
Build a Machine Learning Image Classifier with Python.
Save
Provides a comprehensive introduction to deep learning, covering topics such as neural networks, convolutional neural networks, and recurrent neural networks. It valuable resource for beginners who want to learn the fundamentals of deep learning.
Provides a comprehensive introduction to machine learning with Python, covering topics such as data preprocessing, feature engineering, model selection, and evaluation. It valuable resource for beginners who want to learn the fundamentals of machine learning.
Provides a comprehensive introduction to machine learning for computer vision, covering topics such as image processing, feature detection, and object recognition. It valuable resource for beginners who want to learn the fundamentals of machine learning for computer vision.
Practical guide to machine learning with Python, covering topics such as data preprocessing, model selection, and evaluation. It valuable resource for beginners who want to learn how to build and deploy machine learning models.
Save
Provides a comprehensive introduction to computer vision, covering topics such as image processing, feature detection, and object recognition. It valuable resource for beginners who want to learn the fundamentals of computer vision.
Provides a comprehensive introduction to digital image processing, covering topics such as image enhancement, image restoration, and image segmentation. It valuable resource for beginners who want to learn the fundamentals of digital image processing.
Provides a comprehensive introduction to deep learning with Python, covering topics such as neural networks, convolutional neural networks, and recurrent neural networks. It valuable resource for beginners who want to learn the fundamentals of deep learning.
Save
Provides a comprehensive introduction to pattern recognition, covering topics such as supervised learning, unsupervised learning, and reinforcement learning. It valuable resource for beginners who want to learn the fundamentals of pattern recognition.
Provides a comprehensive introduction to statistical learning, covering topics such as linear regression, logistic regression, and decision trees. It valuable resource for beginners who want to learn the fundamentals of statistical learning.
Provides a comprehensive introduction to pattern recognition and machine learning, covering topics such as supervised learning, unsupervised learning, and reinforcement learning. It valuable resource for beginners who want to learn the fundamentals of pattern recognition and machine learning.
Provides a comprehensive introduction to machine learning, covering topics such as supervised learning, unsupervised learning, and reinforcement learning. It valuable resource for beginners who want to learn the fundamentals of machine learning.
Provides a comprehensive introduction to machine learning from a probabilistic perspective, covering topics such as Bayesian inference, graphical models, and reinforcement learning. It valuable resource for beginners who want to learn the fundamentals of machine learning from a probabilistic perspective.
Provides a comprehensive introduction to probabilistic graphical models, covering topics such as Bayesian networks, Markov networks, and factor graphs. It valuable resource for beginners who want to learn the fundamentals of probabilistic graphical models.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/bd59wx/build
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Effort
1.5 hours
Level
Intermediate
Via
Coursera
Institution
Coursera Project Network
Instructor
Ikechukwu Nigel Ogbuchi
Language
English
Good to know
Builds a strong foundation for learners by introducing the basics of machine learning image classification
Develops skills in applying Python for image classification tasks
Provides hands-on training through interactive Jupyter Notebooks
Suitable for learners interested in exploring the fundamentals of machine learning image classification
Requirement to be based in the North America region may limit accessibility for some learners
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