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Predict Sales Revenue with scikit-learn に戻る

Coursera Project Network による Predict Sales Revenue with scikit-learn の受講者のレビューおよびフィードバック



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....



Predict Sales Revenue with scikit-learn: 1 - 25 / 25 レビュー

by Ashray G

May 20, 2020

Gain a simple understanding of Simple Linear Regression.

by Dr. M N

May 12, 2020

Excellent course for prediction analysis.

by Budi S

Mar 14, 2020

awesome with this project course

by Etape M

Mar 07, 2020

I loved his explanations.

by Gangone R

Jul 02, 2020

very useful course


Jun 26, 2020

Very nice Project

by Shashank S

Jun 10, 2020

Awesome project

by Sibananda M

Jun 12, 2020

nice to learn

by shiva s t

Mar 16, 2020

great course

by Rakshitha R p

Jun 11, 2020

Very good

by Kaustab C S

Jun 10, 2020


by Uppalapati. S S

Jun 21, 2020


by tale p

Jun 22, 2020


by Ashish K

Jun 11, 2020


by Siddharth S

May 15, 2020

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

by Aman

Jul 03, 2020

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


Jun 08, 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 05, 2019

just need to illustrate how to judge the error

by Shubham d

Jun 01, 2020

while the session platform where lagging.

by Pankaj S

Jun 02, 2020


by aithagoni m

Jun 10, 2020


by Sumit M

May 04, 2020

Good as an introduction but not in depth.

by Apurv G

Mar 30, 2020

Its not a Project. Its just a small course about liner regression. may be good for new learner but if you already have a knowledge of regressions in python its waste of time. and the tool used is virtual pc which is very slow 10 min video takes 1 hour to complete.