The Machine Learning Process A-Z
With Ken Jee and Jeff Li
There is so much more to data science than just model tuning. This course covers the entire end-to-end machine learning process—from scoping the problem all the way to its productionization.
Master the End-to-End Process with an Expert-Led Machine Learning Course
Data science education focuses too much on the algorithm itself. In reality, we can have only four lines of code and use them for a variety of problems. The heavy lift of a machine learning model is the end-to-end process. Jeff Li and Ken Jee take you through it step by step, so you can successfully set your projects up for success. The Machine Learning Process A-Z course gives you a deep understanding of what machine learning really is, when you should use it, and when you shouldn’t.
Machine Learning Training Designed with Your Practical Needs in Mind
Learn the practical skills you will need when working on machine learning models in a real-world working environment. This is a structured course that prepares you for the world of data science as it is today.The Machine Learning Process A-Z
Packed with real-world examples and code walkthroughs, this machine learning course provides you with the essential knowledge about the end-to-end ML process.
Who Can Benefit from This Course ?
Designed for data scientists and aspiring data scientists. The Machine Learning Process A-Z course can be the perfect learning tool for students and practitioners or used as a reference when working on ML models on the job.
Billed once. Lifetime access to all course materials and updates.
Get Lifetime Access to
Certificate of Achievement
Pass the exam, showcase your skills, and bolster your data science credentials.Self-Paced Learning
Enjoy maximum flexibility and forget about cramming against the clock.Q&A Hub
No need to do it alone – our community of learners and instructors is there for you.Resume Builder
Write a sharp and professional resume in minutes and impress employers.User Dashboard
Learn with a sense of purpose. Track your progress, set daily goals, and make success a routine.Course Materials
Get unlimited access to all course materials, downloadable resources, and content updates.What You’ll Learn
Many courses jump right into the algorithms, but in this one, Jeff and Ken teach you the real skills needed to leverage machine learning into actual results. You will learn how to perform data preprocessing, engineer your model’s features, and finally productionize your project.
- Focus on the end-to-end ML process
- Data preprocessing techniques
- Data exploration and analysis framing
- Feature engineering
- Cross-validation
- Model tuning and productionization
Our graduates work at
Meet Ken Jee
Ken Jee is head of data science at Scouts Consulting Group LLC, a business consulting and services firm. Equally notable, his passion for content creation and data science education helped him develop one of the most popular data science YouTube channels.
Thanks to his engaging delivery style and ability to explain complex concepts, Ken’s channel is ideal for those wishing to upskill in data science and machine learning. With The Machine Learning Process A-Z course, he aims to demystify ML for those who want to build their own algorithms.
of Experience
on YouTube
Meet Jeff Li
Jeff Li is a senior data scientist who is passionate about learning new skills and teaching data science. His passion for data science emerged during his poker playing days, and he soon turned his interest into a successful career. His practical experience makes him the perfect teacher for those who want to learn how the machine learning process works.
Currently, Jeff is a data science manager at a global music streaming service company and is responsible for quarterly planning, opportunity sizing, prioritization, and OKR planning for his team. His team focuses on rebuilding the methodology of a Podcast Ads Inventory Model.
of Experience
Buy Once.
Enjoy Lifetime Access.
One-time payment. Lifetime access to all course materials and updates.
16,231 Students Have Joined the Course!
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Frequently Asked Questions
What does ‘billed once’ mean for this course?
Unlike a Premium subscription to our platform (billed monthly or annually), acquiring individual courses requires a one-time payment. The course is hosted by 365 Data Science and comes with extra perks like a resume builder, user dashboard, Q&A hub, and gamified features.
Can I access other courses on the platform when I buy this one?
Our limited-time offer covers individual course purchases only. If you’re interested in the entire curriculum on our platform or want to enroll in a more extensive career track, consider continuing your data science journey with one of our subscription plans.
Do I have a time limit for completing the course?
Purchasing this course makes it yours forever. There is no time requirement for completing the modules or assignments. All perks and materials are accessible indefinitely—even after you complete the course. The only timed component is the exam. Whether you pass or fail, you can retake it limitless times. But you must watch at least 30 minutes of video content before each attempt.
How do I get a Course Certificate?
All enrolled students have access to the course exams—no matter how many lessons they’ve watched. You receive a Course Certificate if you get an exam score of 60% or above. Your certificate of achievement is generated automatically once you pass the exam; you can download, view, and share it anytime.
How long will my certificate be valid?
Your Course Certificate has no expiration date. Once you pass the exam, it’s yours forever. You’ll never need to worry about validity issues or retaking the course (unless you wish to refresh your knowledge).
Do I need prior experience or an academic degree to take the course?
No, there are no prerequisites for enrolling. Everything you need to know is included in the course. Unlike other platforms which usually consider mathematics and statistics as prerequisites, we offer beginner-friendly content. We explain it all step by step, including how to download and install the necessary software, e.g., Anaconda, Jupyter Notebook, Python, R, MySQL, Tableau Public, etc.