Course

Linear Regression with NumPy and Python

Coursera Project Network

Embark on a project-based course focusing on Linear Regression with NumPy and Python. Delve into implementing machine learning without using popular libraries, gaining a deeper understanding of the fundamentals. Throughout the course, you will:

  • Implement the gradient descent algorithm from scratch
  • Perform univariate linear regression with NumPy and Python
  • Create data visualizations and plots using matplotlib

This project runs on Rhyme, Coursera's hands-on project platform, providing pre-configured cloud desktops with all necessary software and data. With instant access to Python, Jupyter, NumPy, and Seaborn, you can focus solely on learning. Join this course to gain practical experience and a comprehensive understanding of linear regression and machine learning algorithms.

Certificate Available ✔

Get Started / More Info
Linear Regression with NumPy and Python
More Machine Learning Courses

Reinforcement Learning

Alberta Machine Intelligence Institute & University of Alberta

Master the Concepts of Reinforcement Learning with this Specialization. Gain practical experience in implementing RL solutions for real-world problems.

Despliegue de modelos Deep Learning: Flask, heroku, Postman

Coursera Project Network

Despliegue de modelos Deep Learning: Flask, heroku, Postman. Learn to deploy Deep Learning models using Flask, Heroku, and Postman in under 2 hours.

Simple Linear Regression for the Absolute Beginner

Coursera Project Network

Simple Linear Regression for the Absolute Beginner is a practical, hands-on guided project to understand, build, and apply simple linear regression models using...

Generative AI with Vertex AI: Build a customer chatbot

Coursera Project Network

Build a customer chatbot using Vertex AI in this 1-hour project-based course.