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Вернуться к Predict Sales Revenue with scikit-learn

Отзывы учащихся о курсе Predict Sales Revenue with scikit-learn от партнера Coursera Project Network

4.5
звезд
Оценки: 222
Рецензии: 42

О курсе

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....

Лучшие рецензии

SA
19 июля 2020 г.

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 июля 2020 г.

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

Фильтр по:

1–25 из 42 отзывов о курсе Predict Sales Revenue with scikit-learn

автор: Sumit M

4 мая 2020 г.

Good as an introduction but not in depth.

автор: Apurv G

30 мар. 2020 г.

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.

автор: Lilya N B

9 сент. 2020 г.

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 !

автор: SY. R M A

20 июля 2020 г.

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

автор: Goldy J R

8 июля 2020 г.

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

автор: Arnab S

21 авг. 2020 г.

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

автор: Rohit L

4 авг. 2021 г.

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

автор: Ashray G

20 мая 2020 г.

Gain a simple understanding of Simple Linear Regression.

автор: Marc L

8 окт. 2020 г.

This was a really good course. Highly recommended.

автор: Dr. M N

12 мая 2020 г.

Excellent course for prediction analysis.

автор: NUR S B A K

19 окт. 2020 г.

Good to refresh your memory on the topic

автор: Budi S

14 мар. 2020 г.

awesome with this project course

автор: Ana C d A M

27 окт. 2020 г.

Good teacher and explanation!

автор: MUKHAMMAD F A R

7 авг. 2020 г.

that's very good thank you

автор: Etape D

6 мар. 2020 г.

I loved his explanations.

автор: Pavithra K

24 авг. 2020 г.

just right for beginners

автор: Widhi A P

20 июля 2020 г.

Very good for beginner

автор: Gangone R

2 июля 2020 г.

very useful course

автор: FRANSESCO M

26 июня 2020 г.

Very nice Project

автор: Shashank S

10 июня 2020 г.

Awesome project

автор: cristhian e c t

4 янв. 2021 г.

very compelted

автор: Sibananda m

12 июня 2020 г.

nice to learn

автор: shiva s

16 мар. 2020 г.

great course

автор: Muhammad M

25 дек. 2020 г.

informative

автор: Rakshitha R p

11 июня 2020 г.

Very good