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.

Free Enroll Now

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:

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.

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

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!