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Avis et commentaires pour d'étudiants pour Predict Sales Revenue with scikit-learn par Coursera Project Network

224 évaluations
42 avis

À propos du cours

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....

Meilleurs avis


19 juil. 2020

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


7 juil. 2020

After I did this guided project, I was able to build simple regression models by applying the skills I learnt.

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26 - 42 sur 42 Avis pour Predict Sales Revenue with scikit-learn

par Kaustab C S

10 juin 2020


par Uppalapati. S S

20 juin 2020


par tale p

22 juin 2020


par Ashish K

11 juin 2020


par ANUJA M 2

26 juil. 2021


par HAY a

19 juil. 2020

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

par Siddharth S

15 mai 2020

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

par Aman A

3 juil. 2020

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

par Prof. R R B

8 juin 2020

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

par Harsh K

10 mai 2020

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

par Rohit M

14 avr. 2020

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

par Karim E

4 déc. 2019

just need to illustrate how to judge the error

par Shubham d

1 juin 2020

while the session platform where lagging.

par Pankaj S

2 juin 2020


par aithagoni m

10 juin 2020


par Dae K L

13 oct. 2020

Too simple

par navya c

1 juin 2021

It wasn't comprehensive enough.