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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 26~33

교육 기관: Harsh K

May 10, 2020

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

교육 기관: Rohit M

Apr 14, 2020

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

교육 기관: Karim E

Dec 05, 2019

just need to illustrate how to judge the error

교육 기관: Shubham d

Jun 01, 2020

while the session platform where lagging.

교육 기관: Pankaj S

Jun 02, 2020

great

교육 기관: aithagoni m

Jun 10, 2020

good

교육 기관: Sumit M

May 04, 2020

Good as an introduction but not in depth.

교육 기관: Apurv G

Mar 30, 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.