Machine Learning with Apache Spark
Master Apache Spark for machine learning applications with hands-on training in regression, classification, and clustering using SparkML.
Master Apache Spark for machine learning applications with hands-on training in regression, classification, and clustering using SparkML.
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 IBM Data Engineering 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.
4.6
(70 ratings)
10,447 already enrolled
Instructors:
English
پښتو, বাংলা, اردو, 2 more
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What you'll learn
Build and deploy machine learning models using Apache Spark
Implement ETL processes for ML pipelines
Perform regression, classification, and clustering with SparkML
Design and optimize feature extraction techniques
Develop structured streaming applications
Master model persistence and evaluation methods
Skills you'll gain
This course includes:
2.2 Hours PreRecorded video
7 assignments
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
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Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.
There are 4 modules in this course
This comprehensive course combines theoretical foundations with practical applications in machine learning using Apache Spark. Students learn to implement ML pipelines, perform feature extraction, and handle both batch and streaming data processing. The curriculum covers supervised and unsupervised learning techniques, including regression, classification, and clustering, with hands-on labs using SparkML. Special emphasis is placed on data engineering aspects and real-world applications of machine learning models.
Get Started with Machine Learning
Module 1 · 4 Hours to complete
Machine Learning with Apache Spark
Module 2 · 3 Hours to complete
Data Engineering for Machine Learning using Apache Spark
Module 3 · 4 Hours to complete
Final Project
Module 4 · 3 Hours to complete
Fee Structure
Instructors
Data Engineering and Technology Education Expert
Ramesh Sannareddy serves as a freelance technology educator and content developer, bringing over two and a half decades of experience in Information Technology Infrastructure Management, Database Administration, and Information Integration. After earning his Bachelor's Degree in Information Systems from Birla Institute of Technology, Pilani, he built an impressive career working with leading technology companies including Intergraph, Genpact, HCL, and Microsoft. Currently focused on his passion for teaching, he specializes in developing and delivering courses in Data Science, Machine Learning, Programming, and Databases. His educational impact is evidenced through his extensive course portfolio, which includes specialized programs in Data Engineering, Data Warehousing, Linux Commands, Machine Learning with Apache Spark, and Python Programming. His teaching reaches over 11,800 learners globally, maintaining a strong 4.5 rating for his educational content
Empowering Businesses, Professionals, and Students with Job-Ready Skills
At IBM Skills Network, we understand the importance of building hands-on, job-ready skills quickly to stay competitive in today’s fast-paced world. Our courses, developed by industry experts at the forefront of technological innovation, cover key areas such as AI, software development, cybersecurity, data science, and business management. With real-world insights and practical learning in every module, we equip both individuals and teams with the future-focused technical and business knowledge necessary for success in an ever-evolving landscape.
Testimonials
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4.6 course rating
70 ratings
Frequently asked questions
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