Chevron Left
Voltar para Predict Sales Revenue with scikit-learn

Comentários e feedback de alunos de Predict Sales Revenue with scikit-learn da instituição Coursera Project Network

4.5
estrelas
211 classificações
39 avaliações

Sobre o curso

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....

Melhores avaliações

SA
19 de Jul de 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 de Jul de 2020

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

Filtrar por:

1 — 25 de 39 Avaliações para o Predict Sales Revenue with scikit-learn

por Sumit M

4 de Mai de 2020

Good as an introduction but not in depth.

por Apurv G

30 de Mar de 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.

por Lily B

9 de Set de 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 !

por SY. R M A

20 de Jul de 2020

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

por Goldy J R

8 de Jul de 2020

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

por Arnab S

21 de Ago de 2020

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

por Ashray G

20 de Mai de 2020

Gain a simple understanding of Simple Linear Regression.

por Marc L

8 de Out de 2020

This was a really good course. Highly recommended.

por Dr. M N

12 de Mai de 2020

Excellent course for prediction analysis.

por NUR S B A K

19 de Out de 2020

Good to refresh your memory on the topic

por Budi S

14 de Mar de 2020

awesome with this project course

por Ana C d A M

27 de Out de 2020

Good teacher and explanation!

por MUKHAMMAD F A R

7 de Ago de 2020

that's very good thank you

por Etape D

6 de Mar de 2020

I loved his explanations.

por Pavithra K

24 de Ago de 2020

just right for beginners

por Widhi A P

20 de Jul de 2020

Very good for beginner

por Gangone R

2 de Jul de 2020

very useful course

por FRANSESCO M

26 de Jun de 2020

Very nice Project

por Shashank S

10 de Jun de 2020

Awesome project

por cristhian e c t

4 de Jan de 2021

very compelted

por Sibananda M

12 de Jun de 2020

nice to learn

por shiva s t

16 de Mar de 2020

great course

por Muhammad M

25 de Dez de 2020

informative

por Rakshitha R p

11 de Jun de 2020

Very good

por Kaustab C S

10 de Jun de 2020

Awesome.