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Predict Sales Revenue with scikit-learn(으)로 돌아가기

Coursera Project Network의 Predict Sales Revenue with scikit-learn 학습자 리뷰 및 피드백

4.5
별점
188개의 평가
33개의 리뷰

강좌 소개

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....

최상위 리뷰

GR

Jul 08, 2020

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

AS

Aug 21, 2020

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

필터링 기준:

Predict Sales Revenue with scikit-learn의 33개 리뷰 중 1~25

교육 기관: Lily B

Sep 09, 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 !

교육 기관: SY. R M A

Jul 20, 2020

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

교육 기관: Goldy J R

Jul 08, 2020

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

교육 기관: Arnab S

Aug 21, 2020

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

교육 기관: Ashray G

May 20, 2020

Gain a simple understanding of Simple Linear Regression.

교육 기관: Dr. M N

May 12, 2020

Excellent course for prediction analysis.

교육 기관: Budi S

Mar 14, 2020

awesome with this project course

교육 기관: MUKHAMMAD F A R

Aug 08, 2020

that's very good thank you

교육 기관: Etape D

Mar 07, 2020

I loved his explanations.

교육 기관: Pavithra K

Aug 24, 2020

just right for beginners

교육 기관: Widhi A P

Jul 21, 2020

Very good for beginner

교육 기관: Gangone R

Jul 02, 2020

very useful course

교육 기관: FRANSESCO M

Jun 26, 2020

Very nice Project

교육 기관: Shashank S

Jun 10, 2020

Awesome project

교육 기관: Sibananda M

Jun 12, 2020

nice to learn

교육 기관: shiva s t

Mar 16, 2020

great course

교육 기관: Rakshitha R p

Jun 11, 2020

Very good

교육 기관: Kaustab C S

Jun 10, 2020

Awesome.

교육 기관: Uppalapati. S S

Jun 21, 2020

Great

교육 기관: tale p

Jun 22, 2020

good

교육 기관: Ashish K

Jun 11, 2020

Good

교육 기관: HAY a

Jul 19, 2020

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

교육 기관: Siddharth S

May 15, 2020

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

교육 기관: Aman

Jul 03, 2020

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

교육 기관: RAMYA R B

Jun 08, 2020

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