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Learner Reviews & Feedback for Predict Sales Revenue with scikit-learn by Coursera Project Network

4.5
stars
235 ratings

About the Course

In this 2-hour long project-based course, you will build and evaluate a simple linear regression model using Python. You will employ the scikit-learn module for calculating the linear regression, while using pandas for data management, and seaborn for plotting. You will be working with the very popular Advertising data set to predict sales revenue based on advertising spending through mediums such as TV, radio, and newspaper. By the end of this course, you will be able to: - Explain the core ideas of linear regression to technical and non-technical audiences - Build a simple linear regression model in Python with scikit-learn - Employ Exploratory Data Analysis (EDA) to small data sets with seaborn and pandas - Evaluate a simple linear regression model using appropriate metrics This course runs on Coursera's hands-on project platform called Rhyme. On Rhyme, 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 Jupyter and Python 3.7 with all the necessary libraries pre-installed. Notes: - You will be able to access the cloud desktop 5 times. However, you will be able to access instructions videos as many times as you want. - This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions....

Top reviews

SA

Jul 19, 2020

This course give enough base understanding on how to work with simple linear regression. The instructor explanation was also so easy to understand.

EK

Nov 29, 2023

This project is exactly what you need to get your hands dirty with machine learning for the first time! A great ice breaker!

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26 - 44 of 44 Reviews for Predict Sales Revenue with scikit-learn

By Muhammad M

•

Dec 25, 2020

informative

By Rakshitha R p

•

Jun 11, 2020

Very good

By Kaustab C S

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Jun 10, 2020

Awesome.

By Uppalapati. S S

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Jun 20, 2020

Great

By tale p

•

Jun 22, 2020

good

By Ashish K

•

Jun 11, 2020

Good

By ANUJA M 2

•

Jul 26, 2021

ok

By HAY a

•

Jul 19, 2020

Love the course. The instructor covered all the basic simple regression and some data manipulation techniques in machine learning.

By Siddharth S

•

May 15, 2020

Simple and easy to guided project. Explain the theory and behind the scene concepts very well!

By Aman A

•

Jul 3, 2020

If YOU are very beginner in ML. You can take this course. Otherwise check for another

By Prof. R R B

•

Jun 8, 2020

Good Course but you need atleast some idea before hand about machine learning...

By Harsh K

•

May 10, 2020

It was just too easy for me! It could have been some more harder and larger

By Rohit M

•

Apr 14, 2020

Very easy to understand and perform at the same time on #rhyme platform.

By Karim E

•

Dec 4, 2019

just need to illustrate how to judge the error

By Shubham d

•

Jun 1, 2020

while the session platform where lagging.

By Pankaj S

•

Jun 2, 2020

great

By aithagoni m

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Jun 10, 2020

good

By Dae K L

•

Oct 13, 2020

Too simple

By navya c

•

Jun 1, 2021

It wasn't comprehensive enough.