Train Machine Learning Models
This course is part of CertNexus Certified Data Science Practitioner Certificate.
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 CertNexus Certified Data Science Practitioner Professional Certificate 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.
Instructors:
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What you'll learn
Prepare and train machine learning models
Develop classification solutions
Implement regression models
Create clustering algorithms
Evaluate model performance
Skills you'll gain
This course includes:
5.3 Hours PreRecorded video
4 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
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There are 5 modules in this course
This comprehensive course covers the complete process of machine learning model development. Students learn to implement various algorithms for classification, regression, and clustering tasks. The curriculum includes practical training in model selection, hypothesis testing, parameter tuning, and performance evaluation. Special emphasis is placed on hands-on implementation using Python and popular machine learning libraries.
Prepare to Train a Machine Learning Model
Module 1 · 3 Hours to complete
Develop Classification Models
Module 2 · 8 Hours to complete
Develop Regression Models
Module 3 · 5 Hours to complete
Develop Clustering Models
Module 4 · 4 Hours to complete
Apply What You've Learned
Module 5 · 5 Hours to complete
Fee Structure
Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: CertNexus Certified Data Science Practitioner Certificate
Instructors
Data Science Champion Sarah Haq Empowers Women in AI While Driving Innovation at Artsy
Sarah Haq, currently serving as a Data Engineer at Artsy and Mentor at Women in AI Academy, has established herself as a prominent advocate for women in data science while maintaining an impressive career in technical innovation. Her expertise in building and monitoring Machine Learning models, combined with her role as a Subject Expert Contributor for the Certified Data Science Practitioner 110 Exam and program author at CertNexus, demonstrates her comprehensive understanding of the field. Beyond her technical contributions, Haq is particularly recognized for her passionate advocacy in generating interest in Data Science among girls and women, regularly sharing her knowledge and enthusiasm across social platforms to inspire the next generation of female data scientists.
Cybersecurity Veteran Stacey McBrine Shapes Next Generation of Tech Leaders
Stacey McBrine brings over three decades of comprehensive expertise in systems analysis, security, and network architecture to the technology education landscape. His illustrious career spans from developing software solutions in assembly language and Oracle to providing crucial consulting services for business process automation and security. As an accomplished author and technical editor, McBrine has shared his knowledge through two published books and served on the Information and Communications Technology Council's Cyber Security Advisory Committee. Since 1999, he has been transforming classroom education with his practical approach to security, AI, and IoT technologies, earning prestigious recognitions including the CompTIA outstanding TTT Instructor award (2018) and Cisco Routing & Switching Instructor Excellence Award (2020). His exceptional credentials include authorizations from ISC2, Cisco, Logical Operations, CompTIA, and EC-Council, complemented by an impressive array of certifications including CISSP, CCNA, CAIP, and numerous others, making him one of the earliest MCSE certification holders for Windows 2000.
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Frequently asked questions
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