[Free] Maths For Data Science By Datatrained
Explore the application of key mathematical topics related to linear algebra with the Python programming language – Free Course
What you’ll learn
- Explore the application of key mathematical topics related to linear algebra with the Python programming language
- Perform linear and logistic regressions in Python
- Apply your skills to real-life business cases
- Understand the mathematics behind Machine Learning (an absolute must which other courses don’t teach!)
Requirements
- 10th class Level math knowledge is expected
Description
This course offers a comprehensive exploration of linear algebra, specifically tailored for application in data science and machine learning using Python. Upon completing this course, participants will gain proficiency in the following areas:
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Mathematical Foundations for Data Science and Machine Learning: A foundational overview of essential mathematical concepts.
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Vector Operations in Python: Learning to manipulate vectors within the Python programming environment.
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Basis and Projection of Vectors: A deep dive into understanding and implementing vector basis and projection techniques in Python.
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Matrix Operations: Developing skills to handle matrix operations, including working with, multiplying, and dividing matrices in Python.
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Linear Transformations: Gaining an understanding of linear transformations and how to implement them using Python.
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Gaussian Elimination: Mastering the application of Gaussian elimination in problem-solving.
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Determinants: Exploring the calculation and application of determinants in Python.
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Orthogonal Matrices: Understanding and working with orthogonal matrices within the Python framework.
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Eigenvalues and Eigenvectors: Recognizing and computing eigenvalues and eigenvectors through eigendecomposition in Python.
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Pseudoinverse Computation: Learning to calculate pseudoinverse matrices in Python.
