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

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

Good with the whole explanation from scratch

Good Fundamentals of Linear Regression

The course instructor is amazing.

Good Experience

Great Course

Nice course

Awesome

good

Good

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

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

Good for beginners, interface could have been better

good ,it helps to students for learning

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.

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 :)

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.

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.

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

Great course.

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

linear Regression with python is very full for project implementation as well as Research data implementation.

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

Great project best for people who wants to better understand the maths behind machine learning

This topic is useful for Algebraic Linear Regression Equation.