Linear Algebra for Data Science in Python

Description

Vectorizing your code is an essential skill to make your calculations faster and take advantage of the capabilities of modern machine and deep learning packages. This course will get you up and running with linear algebra fundamentals for data science in Python. In this course, you will learn about scalars, vectors, and matrices and the geometrical meaning of these objects. You will also learn how you should use linear algebra in your Python code. In addition to this, you'll be able to perform operations such as addition, subtraction and dot product. As you cover further sections, you'll focus on the different syntactical errors you can encounter while vectorizing your code. By the end of this course, you will have gained the skills you need to use linear algebra confidently in your data science projects. All code and supporting files for this course are available at - https://github.com/PacktPublishing/Linear-Algebra-for-Data-Science-in-Python

What You Will Learn

Focus on the addition and subtraction of Matrix
Understand errors when adding matrices
Learn why linear algebra is useful

Audience

This course is designed for aspiring data scientists or anyone who wants to learn linear algebra in Python.

Approach

This course takes you through linear algebra in a systematic manner. It is even packed with step-by-step instructions and working examples to enhance your learning experience.

Key Features

Learn linear algebra for data science and understand the essential concepts * Understand matrix, scalars, and vectors and learn how to use them

Github Repo

https://github.com/packtpublishing/linear-algebra-for-data-science-in-python

About the Author

365 Careers Ltd.

365 Careers' courses have been taken by more than 203,000 students in 204 countries. People working at world-class firms such as Apple, PayPal, and Citibank have completed 365 Careers trainings. By choosing 365 Careers, you make sure you will learn from proven experts who have a passion for teaching, and can take you from beginner to pro in the shortest possible amount of time. If you want to become a financial analyst, a finance manager, an FP&A analyst, an investment banker, a business executive, an entrepreneur, a business intelligence analyst, a data analyst, or a data scientist, 365 Careers' courses are the perfect place to start.

Course Outline

1. Linear Algebra Fundamentals