Name: Linear Regression with Python
Brand: Coursera
Availability: OnlineOnly
Rating: 4.6 (52 reviews)

Learner reviews & feedback for Linear Regression with Python

4.6439 reviews

About this course

In this 2-hour long project-based course, you will learn how to implement Linear Regression using Python and Numpy. Linear Regression is an important, fundamental concept if you want break into Machine Learning and Deep Learning. Even though popular machine learning frameworks have implementations of linear regression available, it's still a great idea to learn to implement it on your own to understand the mechanics of optimization algorithm, and the training process.

Since this is a practical, project-based course, you will need to have a theoretical understanding of linear regression, and gradient descent. We will focus on the practical aspect of implementing linear regression with gradient descent, but not on the theoretical aspect. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

Featured reviews

4.0Reviewed Apr 3, 2020

Explain more about what the code do, as I've to google it and try to figure out which wasted a lot of time, thank you

4.0Reviewed May 15, 2020

overall course was good but i certificate i mention course have completed , it would be good if project like statement have mentioned

4.0Reviewed Aug 7, 2021

The guided project is nice for the beginners. The only problem I had was to figure out what is the right learning rate for the solution. and I am still not able to figure it out.

5.0Reviewed Apr 26, 2020

Great to perform hands-on training while learning through the video lecture

5.0Reviewed May 31, 2020

Very practical class. Just with less than an hour I got good idea. Thank Coursera and the instructor

4.0Reviewed Nov 1, 2020

good course and taught new concepts of libraries in python

5.0Reviewed Jun 5, 2020

Good refresher course on linear regression! It would have been great had the Instructor covered few of the statical tests or multivariate regression model.

4.0Reviewed Apr 20, 2020

Good for beginners, interface could have been better

5.0Reviewed May 28, 2020

This topic is useful for Algebraic Linear Regression Equation.

4.0Reviewed Apr 17, 2020

This was my first guided project on coursera and I decided to go with something small. This project just motivated me to take up more projects on the platform

5.0Reviewed May 25, 2020

Great course.Learn new topics like forward passing and backward passing to update parameters for prediction in regression

4.0Reviewed Apr 18, 2020

It was clear to understand any student to learn linear regression with python

All reviews

Showing: 20 of 52

Keerthana N

4.0

Reviewed Apr 18, 2020

This was my first guided project on coursera and I decided to go with something small. This project just motivated me to take up more projects on the platform

AKASH MAHADEO PATIL

5.0

Reviewed Apr 26, 2020

Great to perform hands-on training while learning through the video lecture

Sarthak Mahendra Phatate

5.0

Reviewed Apr 29, 2020

Good with the whole explanation from scratch

Abhirup Hazra

5.0

Reviewed May 15, 2020

Good Fundamentals of Linear Regression

Muhammad Mumtaz

5.0

Reviewed Apr 21, 2020

The course instructor is amazing.

Radhemohan Yadav

5.0

Reviewed May 1, 2020

Good Experience

Ashwin Perti

5.0

Reviewed Apr 21, 2020

Great Course

MARAM ANANTHA GUPTHA

5.0

Reviewed May 13, 2020

Nice course

purnachand kollapudi

5.0

Reviewed May 12, 2020

Awesome

Rohith

5.0

Reviewed May 15, 2020

good

Aatif Jamshed

5.0

Reviewed Apr 25, 2020

Good

ADITYA RATHORE

4.0

Reviewed Apr 4, 2020

Explain more about what the code do, as I've to google it and try to figure out which wasted a lot of time, thank you

Rupali Kumari

4.0

Reviewed Apr 19, 2020

It was clear to understand any student to learn linear regression with python

PRASANNA VENKATESAN R

4.0

Reviewed Apr 20, 2020

Good for beginners, interface could have been better

SUPRIYA AKUMURI

4.0

Reviewed May 16, 2020

good ,it helps to students for learning

Ratnadeep Malakar

5.0

Reviewed Jun 6, 2020

The course was very nice, I have experienced this kind of learning first time where I can do the task along with the instructor which was very exciting. Only the Rhyme platform lags a bit, otherwise everything is perfect. Though some parts could have been explained in detailed manner. But those who have some basic knowledge of Python and higher level mathematics can easily do this course. I will surely recommend it to others.

Sahori Seefoo

5.0

Reviewed Oct 28, 2020

I liked the hands-on project a lot, I have followed some courses related to linear regression already and being able to put the theory to practice with this project was really good. Also, I appreciate that the instructor explains with enough detail the steps to be follow and, even as a rookie in python, understanding how to create the model was easy thanks to him :)

sidnei fc

5.0

Reviewed Nov 1, 2023

The project is well-structured and practical. It introduces the fundamentals of linear regression and its implementation using Python in a very intuitive way. The hands-on projects provide valuable real-world experience, and the instructor's clear explanations make complex concepts accessible.

Marc Larock

5.0

Reviewed Oct 7, 2020

This was a good course. The VM got a little glitchy a couple of times, but nothing too bad. If you aren't familiar with the mechanics of linear regression and the gradient descent algorithm, take a look before you do the project. That's what I did and it served me very well.

Atul Shelar

5.0

Reviewed Jun 5, 2020

Good refresher course on linear regression! It would have been great had the Instructor covered few of the statical tests or multivariate regression model.