The Machine Learning A-Z Bundle

With Jeff Li and Ken Jee

3 Courses
368 Lessons
14 hours
3 Certificates
Special Offer - 60%
$99.00 $249.00
Billed once. Lifetime access to all course materials and updates.

What’s Included in the Bundle?

The heavy lifting of an ML model includes the end-to-end process. In this course series, Jeff Li and Ken Jee walk you step by step from algorithm to productionization and beyond, so you can successfully take your next project from start to finish. You’ll learn everything you need to set up your projects for success. Gain a deeper understanding of machine learning and when you should and shouldn’t use this powerful tool.

Hours of video

Machine Learning Training Designed with Your Practical Needs in Mind

Learn the practical skills you need when working on ML models in a real-world environment. This bundle of structured courses prepares you for the world of data science and supplements your learning with links to additional resources and flashcards to help you retain the information in the long term.
Course 1

The Machine Learning Process A-Z

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.

  • 01 Course Introduction 12 Lessons
  • 02 Intro to Machine Learning 10 Lessons
  • 03 The Modeling Process 07 Lessons
  • 04 Data Collection 06 Lessons
  • 05 Data Preprocessing 13 Lessons
  • 06 Exploratory Data Analysis for ML 15 Lessons
  • 07 Feature Engineering 27 Lessons
  • 08 Cross Validation 12 Lessons
  • 09 Feature Selection 06 Lessons
  • 10 Dealing with Imbalanced Data 09 Lessons
  • 11 Modeling 07 Lessons
  • 12 Model evaluation 17 Lessons
  • 13 Productionization 03 Lessons
  • 14 Conclusion 01 Lessons
Course 3

Machine Learning Deep Dive: Business Applications and Coding Walkthroughs

Practical Machine Learning: From Basic Algorithms to Advanced Real-World Applications

  • 01 ML Business Use Cases 09 Lessons
  • 02 Coding Walkthroughs 25 Lessons
Course 2

The Machine Learning Algorithms A-Z

Learn the intuition behind the most popular ML algorithms, understand the pros and cons of each, and choose the best one for the problems you need to solve.

  • 01 Course Introduction 05 Lessons
  • 02 Linear Regression 17 Lessons
  • 03 Ridge, Lasso, Elastic Net 12 Lessons
  • 04 Logistic Regression 14 Lessons
  • 05 Gradient Descent 09 Lessons
  • 06 Decision Trees 14 Lessons
  • 07 Random Forest 14 Lessons
  • 08 Gradient Boosted Trees 13 Lessons
  • 09 XGBoost 08 Lessons
  • 10 K Nearest Neighbors 09 Lessons
  • 11 K-Means Clustering 12 Lessons
  • 12 Hierarchical Clustering 09 Lessons
  • 13 Support Vector Machines 14 Lessons
  • 14 Artificial Neural Nets 12 Lessons
  • 15 Collaborative Filtering - Non-Negative Matrix Factorization 15 Lessons
  • 16 Naïve Bayes 10 Lessons
  • 17 Practical projects 02 Lessons

Who Can Benefit from This Bundle?

These courses are the perfect learning tool for machine learning students and aspiring data scientists and a helpful additional resource for practitioners who work on ML models.

Billed once. Lifetime access to all course materials and updates

This Course Gives You 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 Jeff and Ken teach you the essential skills needed to leverage machine learning into actual results. They code all algorithms from scratch to show you the inner workings of building an ML model and how to perform data preprocessing, engineer your model’s features, and productionize your project.

  • The end-to-end ML process
  • Feature engineering
  • Data preprocessing techniques
  • Cross-validation
  • Data exploration and analysis framing
  • Model tuning and productionization

Our graduates work at
Jeff Li

Meet Jeff Li

Jeff Li is a senior data scientist who is passionate about learning new skills and teaching data science. His practical experience makes him the perfect teacher for those who want to learn how the ML process really works in practice. Currently, Jeff is a data science manager 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
Ken Jee

Meet Ken Jee

Ken has held data science positions in companies of all sizes – from startups to Fortune 100 organizations. In 2021, he also served as an adjunct professor at DePaul University where he taught Advanced Topics in Human-Centered Design. He is a Senior Data Scientist, with people-management and recruitment expertise. Thanks to his friendly delivery style and willingness to share knowledge, Ken Jee is the perfect role model for anyone who wants to start a career in data science. We strongly recommend watching some of Ken’s most popular YouTube videos, such as “How I would Learn Data Science (If I Had to Start Over)”. If you are into learning and sharing your progress with others, you can also check out Ken’s #66DaysOfData hashtag on LinkedIn.

of Experience
on YouTube

Buy Once.
Enjoy Lifetime Access.

One-time payment. Lifetime access to all course materials and updates.

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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.

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Whether searching for an all-encompassing data science program or focused comprehensive machine learning training, our top-rated platform is the best place to learn.

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  • 264 hours of video
  • 680 exercises
  • Downloadables
  • Self-paced lessons
  • Resume builder
  • Gamified features
  • Leaderboard
  • Career tracks
  • Exams
  • Certificates
  • New content
  • Portfolio advice
  • Resume feedback
  • Personalized support

Machine Learning A-Z Bundle



Billed once Save 60%

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  • 368 video lessons
  • 3 course exams
  • 3 certificates
  • Lifetime access
  • Content updates
  • Focused curriculum
  • Self-paced learning
  • Links to additional resources
  • Coding walkthroughs
  • Business use cases
  • Renowned instructors
  • User dashboard
  • Resume builder
  • Build-in flashcards
Special Offer