Build simple linear regression models in Python
Apply scikit-learn and statsmodels to regression problems
Employ explorartory data analysis (EDA) with seaborn and pandas
Explain linear regression to both technical and non-technical audiences
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.
작업 영역이 있는 분할 화면으로 재생되는 동영상에서 강사는 다음을 단계별로 안내합니다.
Introduction and Overview
Loading the Data and Importing Libraries
Removing the Index Column
Exploratory Data Analysis (EDA)
Relationship between Predictors and Response
Creating the Simple Linear Regression Model
Evaluation and Model Parameters
Making Predictions with the Model
Model Evaluation Metrics
What will I get if I purchase a guided project?
By purchasing a guided project, you'll get everything you need to complete the guided project including access to a cloud desktop workspace through your web browser that contains the files and software you need to get started, plus step-by-step video instruction from a subject matter expert.
Are guided projects available on desktop and mobile?
Because your workspace contains a cloud desktop that is sized for a laptop or desktop computer, guided projects are not available on your mobile device.
Who are the instructors for guided projects?
Guided project instructors are subject matter experts who have experience in the skill, tool or domain of their project and are passionate about sharing their knowledge to impact millions of learners around the world.
Can I download the work from my guided project after I complete it?
You can download and keep any of your created files from the guided project. To do so, you can use the “File Browser” feature while you are accessing your cloud desktop.
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Financial aid is not available for guided projects.
Can I audit a guided project and watch the video portion for free?
Auditing is not available for guided projects.
How much experience do I need to do this guided project?
At the top of the page, you can press on the experience level for this guided project to view any knowledge prerequisites. For every level of guided project, your instructor will walk you through step-by-step.
Can I complete this guided project right through my web browser, instead of installing special software?
Yes, everything you need to complete your guided project will be available in a cloud desktop that is available in your browser.
What is the learning experience like with guided projects?
You'll learn by doing through completing tasks in a split-screen environment directly in your browser. On the left side of the screen, you'll complete the task in your workspace. On the right side of the screen, you'll watch an instructor walk you through the project, step-by-step.
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