Scala for Data Science introduces the use of Scala for data analysis and machine learning. It covers Scala basics, data processing, statistical calculations, visualization, and machine learning techniques. The subject develops analytical and problem-solving skills through practical applications and provides a foundation for data-driven solutions.
Dr. Mahendra Kanojia
Author
Dr. Mahendra Kanojia (Ph.D., M.Phil., Computer Science)
Dr. Kanojia is an AI research scientist and academic leader with 18years of experience. He serves as Principal and HOD of Computer Science at Sheth L.U.J. & Sir M.V. College, Mumbai, and founded the e-learning platform rocktheit.com., He specializes in AI, Machine Learning, chatbots, and advanced applications like autonomous oncology. His hands-on, accessible approach to technical training is driven by a single belief: “If humans can, technology can.”
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Instructor Assistant
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Instructor Assistant
Lesson1:Introduction to Scala Environment Setup and Program Development
Introduction to Scala Environment Setup and Program Development
Lesson 1 of 1 within section Lesson1:Introduction to Scala Environment Setup and Program Development .
You must enroll in this course to access course content.
Lesson 2: Calculate mean, median, and mode of a list of numbers. Implement basic statistical calculations using Scala collections
Calculate mean, median, and mode of a list of numbers. Implement basic statistical calculations using Scala collections
Lesson 1 of 1 within section Lesson 2: Calculate mean, median, and mode of a list of numbers. Implement basic statistical calculations using Scala collections .
You must enroll in this course to access course content.