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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

224개의 평가
42개의 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

2020년 7월 19일

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

2020년 7월 7일

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

필터링 기준:

Predict Sales Revenue with scikit-learn의 42개 리뷰 중 26~42

교육 기관: Kaustab C S

2020년 6월 10일


교육 기관: Uppalapati. S S

2020년 6월 20일


교육 기관: tale p

2020년 6월 22일


교육 기관: Ashish K

2020년 6월 11일


교육 기관: ANUJA M 2

2021년 7월 26일


교육 기관: HAY a

2020년 7월 19일

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

교육 기관: Siddharth S

2020년 5월 15일

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

교육 기관: Aman A

2020년 7월 3일

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

교육 기관: Prof. R R B

2020년 6월 8일

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

교육 기관: Harsh K

2020년 5월 10일

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

교육 기관: Rohit M

2020년 4월 14일

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

교육 기관: Karim E

2019년 12월 4일

just need to illustrate how to judge the error

교육 기관: Shubham d

2020년 6월 1일

while the session platform where lagging.

교육 기관: Pankaj S

2020년 6월 2일


교육 기관: aithagoni m

2020년 6월 10일


교육 기관: Dae K L

2020년 10월 13일

Too simple

교육 기관: navya c

2021년 6월 1일

It wasn't comprehensive enough.