[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

Added on September 25, 2024 Development 2 min read

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:

• Mathematical Foundations for Data Science and Machine Learning: A foundational overview of essential mathematical concepts.

• Vector Operations in Python: Learning to manipulate vectors within the Python programming environment.

• Basis and Projection of Vectors: A deep dive into understanding and implementing vector basis and projection techniques in Python.

• Matrix Operations: Developing skills to handle matrix operations, including working with, multiplying, and dividing matrices in Python.

• Linear Transformations: Gaining an understanding of linear transformations and how to implement them using Python.

• Gaussian Elimination: Mastering the application of Gaussian elimination in problem-solving.

• Determinants: Exploring the calculation and application of determinants in Python.

• Orthogonal Matrices: Understanding and working with orthogonal matrices within the Python framework.

• Eigenvalues and Eigenvectors: Recognizing and computing eigenvalues and eigenvectors through eigendecomposition in Python.

• Pseudoinverse Computation: Learning to calculate pseudoinverse matrices in Python.

Each topic is designed to build upon the last, ensuring a thorough understanding of how linear algebraic concepts can be effectively applied in Python for data science and machine learning applications. By the end of the course, participants will have a robust set of skills to tackle real-world problems in these fields.

Author(s): Dt Evolve