Sign In  |  View Cart  |    |  Help  |  
 
Print Course information
Email to a friend
Return to Course Catalog

Course Catalog > On Demand Online Learning > Data Literacy and Management

Linear Regression with NumPy and Python   

ABOUT THIS 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.

Difficulty Level: INTERMEDIATE

Estimated Learning Time:  1 hours

SKILLS YOU WILL GAIN:

Computer Programming

Machine Learning

Probability & Statistics

Python Programming

Regression

Statistical Programming

General Statistics

INSTRUCTOR

Course Instructor PhotoSnehan Kekre
Machine Learning Instructor
Machine Learning

 
  • Linear Regression with NumPy and Python
  • Fee: $59.00