Learners should have a working knowledge of Python programming, including data structures, loops, functions, and libraries such as NumPy.
A grasp of core linear algebra concepts such as matrices, vectors, matrix operations, and basic transformations will aid in understanding the course content effectively.
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₹3,358.00
What I will learn?
Learn how to leverage Python libraries like NumPy and SciPy to execute linear algebra operations efficiently and effectively within a programming environment.
Explore how linear algebra forms the backbone of various machine learning algorithms and data science techniques, enabling you to analyze data, build models, and make data-driven decisions.
Learners should have a working knowledge of Python programming, including data structures, loops, functions, and libraries such as NumPy.
A grasp of core linear algebra concepts such as matrices, vectors, matrix operations, and basic transformations will aid in understanding the course content effectively.
Who Should Take this course?
Beginners in Data Science
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