Back to Linear Regression with NumPy and Python
Learner Reviews & Feedback for Linear Regression with NumPy and Python by Coursera Project Network
984 ratings
About the Course
Welcome to this project-based course on Linear Regression with NumPy and Python. In this project, you will do all the machine learning without using any of the popular machine learning libraries such as scikit-learn and statsmodels. The aim of this project and is to implement all the machinery, including gradient descent and linear regression, of the various learning algorithms yourself, so you have a deeper understanding of the fundamentals.
This course runs on Coursera's hands-on project platform called Rhyme. On Rhyme, you do projects in a hands-on manner in your browser. You will get instant access to pre-configured cloud desktops containing all of the software and data you need for the project. Everything is already set up directly in your internet browser so you can just focus on learning. For this project, you’ll get instant access to a cloud desktop with Python, Jupyter, NumPy, and Seaborn pre-installed.
Top reviews
AD
May 24, 2020
It is a great project and an excellent experience to learn practical exposure to Linear regression with nmpy and python. I am waiting to get another project.
VB
Jul 9, 2020
Best Project ever we have seen, all plotting and code are explain in very well manner and its definitely increase my knowledge in machine learning
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