Machine Learning Fundamentals [Python]

Machine Learning Fundamentals [Python], available at Free, has an average rating of 3.25, with 9 lectures, based on 143 reviews, and has 11698 subscribers.

You will learn about What is basically Machine Learning? How Machine Learns? Learn the most Basic Mathematics behind Simple Linear Regression and its Best fit line. What is Gradient Descent, how it works Internally with full Mathematical explanation. This course is ideal for individuals who are Anyone who is looking or dont know from where to start Machine Learning can opt for this course. or This will provide a good foundation in understanding concept of Machine Learning. It is particularly useful for Anyone who is looking or dont know from where to start Machine Learning can opt for this course. or This will provide a good foundation in understanding concept of Machine Learning.

Enroll now: Machine Learning Fundamentals [Python]

Summary

Title: Machine Learning Fundamentals [Python]

Price: Free

Average Rating: 3.25

Number of Lectures: 9

Number of Published Lectures: 9

Number of Curriculum Items: 9

Number of Published Curriculum Objects: 9

Original Price: Free

Quality Status: approved

Status: Live

What You Will Learn

What is basically Machine Learning? How Machine Learns?
Learn the most Basic Mathematics behind Simple Linear Regression and its Best fit line.
What is Gradient Descent, how it works Internally with full Mathematical explanation.

Who Should Attend

Anyone who is looking or dont know from where to start Machine Learning can opt for this course.
This will provide a good foundation in understanding concept of Machine Learning.

Target Audiences

Anyone who is looking or dont know from where to start Machine Learning can opt for this course.
This will provide a good foundation in understanding concept of Machine Learning.

This course is designed to understand basic Concept of Machine Learning. Anyone can opt for this course. No prior understanding of Machine Learning is required. Simple Linear Regression Concepts are covered in detail. Coding part is not covered, however wherever possible I have attached the code in the resources.

Now question is why this course?

This Course will not only teach you the basics of Machine learning and Simple Linear Regression. It will also cover in depth mathematical explanation of Cost function and use of Gradient Descent for Simple Linear Regression. Understanding these is must for a solid foundation before entering into Machine Learning World. This foundation will help you to understand all other algorithms and mathematics behind it.

Course Curriculum

Chapter 1: Introduction to Machine Learning

Lecture 1: What is Machine Learning?

Lecture 2: Types of Machine Learning

Lecture 3: Supervised Learning

Chapter 2: Supervised Learning: Regression

Lecture 1: Best Fit Line

Lecture 2: Simple Linear Regression: Concept

Lecture 3: Ordinary Least Square(OLS)

Lecture 4: Gradient Descent: Mathematics Behind it

Lecture 5: Gradient Descent: Learning Rate

Lecture 6: Gradient Descent: Algorithm

Instructors

Rishi Bansal
Senior Developer

Rating Distribution

1 stars: 6 votes
2 stars: 14 votes
3 stars: 29 votes
4 stars: 37 votes
5 stars: 57 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!

Menu