02.02.2025
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
14836 students
$99.00
Lifetime access
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
Lifetime access
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
Lifetime access
$99.00
Lifetime access
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
![](https://365datascience.com/resources/courses/q21akqudbj-the-machine-learning-process-a-z-thumbnail-for-promo.webp)
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
Learn for Free
![Introduction](https://cf-images.eu-west-1.prod.boltdns.net/v1/jit/6258000438001/cc6fd1a9-f9b3-471d-82d9-f2b594582c95/main/1280x720/1m40s138ms/match/image.jpg)
1.1 Introduction
3 min
![ML Process Course - GitHub repository](https://365datascience.com/resources/lectures/ml-process-course-github-repository.jpg)
1.2 ML Process Course - GitHub repository
1 min
![Meet your instructors](https://cf-images.eu-west-1.prod.boltdns.net/v1/jit/6258000438001/639bd63c-f529-42f2-b3b1-963e16e68667/main/1280x720/34s304ms/match/image.jpg)
1.3 Meet your instructors
1 min
![How to use this course](https://cf-images.eu-west-1.prod.boltdns.net/v1/jit/6258000438001/8fc517e1-3098-4842-aaf1-4c39ce3c0ab6/main/1280x720/16s266ms/match/image.jpg)
1.4 How to use this course
1 min
![Additional resources](https://cf-images.eu-west-1.prod.boltdns.net/v1/jit/6258000438001/090f97a5-9207-471a-99c3-f1c1cc12a7d5/main/1280x720/24s202ms/match/image.jpg)
1.5 Additional resources
1 min
![Environment setup](https://cf-images.eu-west-1.prod.boltdns.net/v1/jit/6258000438001/a4d392c7-6309-4ddb-b40c-5d0f4a040b9d/main/1280x720/39s765ms/match/image.jpg)
1.6 Environment setup
1 min
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.
![fill-blank-selection exercise](https://365datascience.com/resources/assets/images/fill-blank-selection.webp)
![order exercise](https://365datascience.com/resources/assets/images/order.webp)
![categorize exercise](https://365datascience.com/resources/assets/images/categorize.webp)
![true-false exercise](https://365datascience.com/resources/assets/images/true-false.webp)
![single-choice exercise](https://365datascience.com/resources/assets/images/single-choice.webp)
![multiple-choice exercise](https://365datascience.com/resources/assets/images/multiple-choice.webp)
![flashcards exercise](https://365datascience.com/resources/assets/images/flashcards.webp)
![fill-blank-typing exercise](https://365datascience.com/resources/assets/images/fill-blank-typing.webp)
Curriculum
Topics
Machine LearningModel EvaluationData PreprocessingMachine Learning ProcessData ModelingDealing with Imbalanced DataCross ValidationFeature EngineeringExploratory Data AnalysisMachine and Deep Learning
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.
![Exams and certification](https://365datascience.com/resources/assets/images/exams-and-certification-ds.webp)
Meet Your Instructor
![Ken Jee](https://365datascience.com/resources/team/cptsyg98j47-ken.jpg)
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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