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

4.5
étoiles
223 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

SA
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.

GR
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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1 - 25 sur 42 Avis pour Predict Sales Revenue with scikit-learn

par Sumit M

4 mai 2020

Good as an introduction but not in depth.

par Apurv G

30 mars 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.

par Lilya N B

9 sept. 2020

In this guided project, you will practice simple EDA with the seaborn library, you will create a simple linear regression model and learn the basics about linear regression and also other quick tips. It is short and to the point. Highly recommended !

par SY. R M A

20 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.

par Goldy J R

8 juil. 2020

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

par Arnab S

21 août 2020

A very good course for anyone who wants a hands-on experience before starting a real-world project

par Rohit L

4 août 2021

b​rilliant course for getting head start in ML and scikit learn

par Ashray G

20 mai 2020

Gain a simple understanding of Simple Linear Regression.

par Marc L

8 oct. 2020

This was a really good course. Highly recommended.

par Dr. M N

12 mai 2020

Excellent course for prediction analysis.

par NUR S B A K

19 oct. 2020

Good to refresh your memory on the topic

par Budi S

14 mars 2020

awesome with this project course

par Ana C d A M

27 oct. 2020

Good teacher and explanation!

par MUKHAMMAD F A R

7 août 2020

that's very good thank you

par Etape D

6 mars 2020

I loved his explanations.

par Pavithra K

24 août 2020

just right for beginners

par Widhi A P

20 juil. 2020

Very good for beginner

par Gangone R

2 juil. 2020

very useful course

par FRANSESCO M

26 juin 2020

Very nice Project

par Shashank S

10 juin 2020

Awesome project

par cristhian e c t

4 janv. 2021

very compelted

par Sibananda m

12 juin 2020

nice to learn

par shiva s

16 mars 2020

great course

par Muhammad M

25 déc. 2020

informative

par Rakshitha R p

11 juin 2020

Very good