Linear Algebra for Data Science in Python
Get started with using linear algebra in your data science projects
Created by 365 Careers Ltd.
Explore how linear algebra powers data science by learning to work with scalars, vectors, and matrices in Python. Discover practical techniques for vectorizing your code to speed up calculations and make the most of modern machine learning tools.
Packt | Jul 2019 | 56 min
What You Will Learn
You will build your understanding step by step, starting with the basics of linear algebra and moving on to hands-on coding exercises. Real-world examples help you see how these concepts apply directly to data science projects, so you can practice and reinforce your new skills as you go.
Key Features
- Work confidently with scalars, vectors, and matrices in Python code
- Apply vectorization to speed up data science calculations and avoid common errors
- Perform matrix operations like addition, subtraction, and dot products with ease
Target Audience
Perfect for aspiring data scientists or Python users ready to deepen their math skills. If you have a basic grasp of Python and want to use linear algebra for faster, more efficient data analysis and machine learning, you'll find practical value here.
