02.12.2024
The Machine Learning Process A-Z trending topic
Master the complete machine learning lifecycle: from problem definition to model deployment in production
6 hours of content
14248 students
$99.00
14-Day Money-Back Guarantee
What you get:
- 6 hours of content
- 27 Downloadable resources
- World-class instructor
- Closed captions
- Q&A support
- Future course updates
- Course exam
- Certificate of achievement
$99.00
14-Day Money-Back Guarantee
What you get:
- 6 hours of content
- 27 Downloadable resources
- World-class instructor
- Closed captions
- Q&A support
- Future course updates
- Course exam
- Certificate of achievement
What You Learn
- Acquire the real-world skills needed to leverage machine learning into actual results
- Master each stage of the machine learning lifecycle – from data collection and preprocessing to model deployment
- Gain hands-on data preprocessing experience prepare your data for machine learning
- Improve your ML model’s results through advanced feature engineering techniques
- Be able to independently manage and execute a complete ML project from start to finish
- Differentiate your data scientist profile by learning invaluable practical skills only experienced data scientists can teach
Top Choice of Leading Companies Worldwide
Industry leaders and professionals globally rely on this top-rated course to enhance their skills.
Course Description
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 an ML model is the end-to-end process. Jeff Li and Ken Jee walk you step-by-step through this process, so you can successfully take your next project from start to finish. You will learn everything you need to know to set your projects up for success. The Machine Learning Process A-Z course gives you a deep understanding of what machine learning really is. It helps you understand when you should and shouldn’t use this powerful tool. Jeff and Ken break down the specifics of the different problems you can encounter and how machine learning is used in specific domains. In the second part of the course, you will learn the entire modeling process. Jeff and Ken show you how to pull real results and make the ML model work for others, not just yourself. You will learn how to perform essential steps like data preprocessing. In this section, they also show you how to deal with null values and outliers. Next, you’ll see how to explore your data to frame your analysis. Additionally, the course deals with some of the visualization techniques that can help you to see the relationships in your data. After that, we go into feature engineering—one of the most important steps for improving your model’s results. That leads to cross-validation and how to handle bias and variance trade-off in your analysis. Finally, the instructors touch briefly on the model tuning process and how to productionize your work and documentation.
Learn for Free
1.1 Introduction
1.2 ML Process Course - GitHub repository
1.3 Meet your instructors
1.4 How to use this course
1.5 Additional resources
1.6 Environment setup
Interactive Exercises
Practice what you've learned with coding tasks, flashcards, fill in the blanks, multiple choice, and other fun exercises.
Practice what you've learned with coding tasks, flashcards, fill in the blanks, multiple choice, and other fun exercises.
Curriculum
Topics
Course Requirements
- You need to complete an introduction to Python before taking this course
- Basic skills in statistics, probability, and linear algebra are required
- It is highly recommended to take the Machine Learning in Python course first
- Highly recommended to take the Machine Learning in Python course first
- You will need to install the Anaconda package, which includes Jupyter Notebook
Who Should Take This Course?
Level of difficulty: Advanced
- Aspiring data scientists and ML engineers
- Existing data scientists and ML engineers who want to boost their skills and learn from world-class experts
Exams and Certification
A 365 Data Science Course Certificate is an excellent addition to your LinkedIn profile—demonstrating your expertise and willingness to go the extra mile to accomplish your goals.
Meet Your Instructor
Ken has held data science positions in companies of all sizes - from startups to Fortune 100 organizations. He is a Senior Data Scientist who is very passionate about content creation. 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.
What Our Learners Say
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