Applied Calculus for Data Science and Machine Learning with Python: Master Calculus with Python for Real-World Data Science and Machine Learning Applications

Ron Erez

$109.99

Video Dec 2025 7hrs 32mins 1st Edition

Ron Erez

$109.99

Video Dec 2025 7hrs 32mins 1st Edition

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Key benefits

A comprehensive introduction to core calculus concepts and their applications in Python
Integration of Python libraries like SymPy and NumPy to perform real-world mathematical tasks
Practical coding exercises and mini-projects to reinforce learning and build valuable skills

Description

Unlock the power of calculus in data science and machine learning through Python in this comprehensive course. You will start by mastering fundamental concepts like limits, derivatives, and integrals, building a strong foundation in mathematical theory. The course progresses to cover more advanced topics like multivariable calculus and optimization techniques, ensuring you have the tools needed for real-world data analysis. Throughout the course, you’ll work with Python libraries such as SymPy, NumPy, and Matplotlib to perform symbolic and numerical calculations. You will also apply these skills in practical scenarios like optimization problems and cost function analysis. By integrating both math and programming, this course prepares you for more advanced applications in data science and machine learning. The course is designed to be project-driven. You’ll build mini-projects, including a derivative calculator and a gradient descent optimizer, to reinforce your understanding. These projects offer practical skills that can be applied directly to machine learning and data science tasks, making the course both comprehensive and hands-on.

Who is this book for?

This course is ideal for anyone looking to strengthen their math skills with practical Python coding. It is particularly beneficial for aspiring data scientists and machine learning enthusiasts who want to build a solid foundation in calculus. Students in computer science, data analytics, or related fields will also find the course useful for applying calculus concepts to real-world data problems. No prior calculus experience is required, but a basic understanding of Python will be helpful.