Maths for Data Science by DataTrained
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!)
- 10th class Level math knowledge is expected
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.
Who this course is for:
- Beginner python developers looking for a data science career
I regard myself as a divine professional and have got 6 years of experience into HR and have got more than 7 years of experience in HR Analytics. I am heading the HR analytics team at DataTrained and is also heading the HR team.
This course has been designed for the students who want to brush up their basics on math usage in data science using Python as a tool.