Machine Learning: Algorithms in the Real World
Master machine learning techniques for real-world applications. Learn to define problems, prepare data, and implement successful ML projects.
Master machine learning techniques for real-world applications. Learn to define problems, prepare data, and implement successful ML projects.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Machine Learning: Algorithms in the Real World Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
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বাংলা, Tiếng Việt, پښتو, 3 more
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What you'll learn
Define and implement machine learning problems effectively
Prepare and optimize data for ML applications
Train and validate classification algorithms
Implement supervised learning techniques on real case studies
Develop complete machine learning projects
Optimize and maintain ML models in production
Skills you'll gain
This course includes:
40 Hours PreRecorded video
4 course assessments
Access on Mobile, Desktop, Tablet
FullTime access
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There are 4 courses in this program
Introduction to Applied Machine Learning
Course 1 · 6 Hours to complete · 4 modules
Machine Learning Algorithms: Supervised Learning Tip to Tail
Course 2 · 9 Hours to complete · 4 modules
Data for Machine Learning
Course 3 · 11 Hours to complete · 4 modules
Optimizing Machine Learning Performance
Course 4 · 11 Hours to complete · 4 modules
Fee Structure
Payment options
Financial Aid
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