Capstone: Data Science Problem in Linear Algebra Framework

Capstone: Data Science Problem in Linear Algebra Framework

Capstone: Data Science Problem in Linear Algebra Framework This course is part of Linear Algebra for Data Science Using Python Specialization Taught in English Instructors: Dennis Davenport +1 more Close Instructors Dennis Davenport Howard University 4 Courses • 3,774 learners MOUSSA DOUMBIA Howard University 4 Courses • 3,774 learners OK Enroll for Free Starts Mar

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Capstone: Data Science Problem in Linear Algebra Framework

Data science has become an essential tool for organizations in understanding and analyzing complex data sets to make informed decisions. One of the key concepts in data science is linear algebra, which provides the foundation for many data analysis techniques. In this article, we will explore a data science problem within the framework of linear algebra, and how it can be effectively solved using capstone projects.

Linear algebra plays a crucial role in data science due to its ability to represent and manipulate data in a mathematical form. Many data science techniques, such as regression analysis, dimensionality reduction, and clustering, rely heavily on linear algebra to process and analyze data. By using linear algebra, data scientists can efficiently perform complex calculations and gain insights into large datasets.

One common

Capstone: Data Science Problem in Linear Algebra Framework

This course is part of Linear Algebra for Data Science Using Python Specialization

Taught in English

Dennis Davenport
MOUSSA DOUMBIA

Instructors: Dennis Davenport

Included with Coursera Plus

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Gain insight into a topic and learn the fundamentals

8 hours (approximately)
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