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Linear Regression with NumPy and Python

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.

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Rating Not enough ratings
Length 2 weeks
Effort 1.5 hours
Starts Jul 17 (41 weeks ago)
Cost $9
From Rhyme, Coursera Project Network via Coursera
Instructor Snehan Kekre
Download Videos On all desktop and mobile devices
Language English
Subjects Data Science Programming
Tags Data Science Data Analysis Machine Learning

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Rating Not enough ratings
Length 2 weeks
Effort 1.5 hours
Starts Jul 17 (41 weeks ago)
Cost $9
From Rhyme, Coursera Project Network via Coursera
Instructor Snehan Kekre
Download Videos On all desktop and mobile devices
Language English
Subjects Data Science Programming
Tags Data Science Data Analysis Machine Learning

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