Maths for Data Science by DataTrained
Maths for Data Science by DataTrained, available at Free, has an average rating of 3.45, with 13 lectures, based on 327 reviews, and has 23511 subscribers.
You will learn about 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!) This course is ideal for individuals who are Beginner python developers looking for a data science career It is particularly useful for Beginner python developers looking for a data science career.
Enroll now: Maths for Data Science by DataTrained
Summary
Title: Maths for Data Science by DataTrained
Price: Free
Average Rating: 3.45
Number of Lectures: 13
Number of Published Lectures: 13
Number of Curriculum Items: 13
Number of Published Curriculum Objects: 13
Original Price: Free
Quality Status: approved
Status: Live
What You Will 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!)
Who Should Attend
- Beginner python developers looking for a data science career
Target Audiences
- Beginner python developers looking for a data science career
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:
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Mathematical Foundations for Data Science and Machine Learning: A foundational overview of essential mathematical concepts.
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Vector Operations in Python: Learning to manipulate vectors within the Python programming environment.
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Basis and Projection of Vectors: A deep dive into understanding and implementing vector basis and projection techniques in Python.
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Matrix Operations: Developing skills to handle matrix operations, including working with, multiplying, and dividing matrices in Python.
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Linear Transformations: Gaining an understanding of linear transformations and how to implement them using Python.
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Gaussian Elimination: Mastering the application of Gaussian elimination in problem-solving.
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Determinants: Exploring the calculation and application of determinants in Python.
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Orthogonal Matrices: Understanding and working with orthogonal matrices within the Python framework.
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Eigenvalues and Eigenvectors: Recognizing and computing eigenvalues and eigenvectors through eigendecomposition in Python.
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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.
Course Curriculum
Chapter 1: Math for Data Science Science and Machine Learning Introduction
Lecture 1: Introduction
Lecture 2: Understand how to work with vectors in Python
Lecture 3: Understand the Basis and Projection of Vectors in Python
Lecture 4: Work with Matrices
Lecture 5: Matrix Multiplication
Lecture 6: Matrix Division
Lecture 7: Linear Transformations
Lecture 8: Gaussian Elimination
Lecture 9: Determinants
Lecture 10: Orthogonal Matrices
Lecture 11: Eigen values
Lecture 12: Eigenvectors
Lecture 13: PseudoInverse
Instructors
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Dt Evolve
Unlock the Better You
Rating Distribution
- 1 stars: 23 votes
- 2 stars: 24 votes
- 3 stars: 90 votes
- 4 stars: 94 votes
- 5 stars: 96 votes
Frequently Asked Questions
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
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