Project: Multiple Linear Regression with scikit-learn
In this 2-hour long project-based course, you will build and evaluate multiple linear regression models using Python. You will use scikit-learn to calculate the regression, while using pandas for data management and seaborn for data visualization. The data for this project consists of the very popular Advertising dataset to predict sales revenue based on advertising spending through media such as TV, radio, and newspaper. By the end of this project, you will be able to: - Build univariate and multivariate linear regression models using scikit-learn - Perform Exploratory Data Analysis (EDA) and data visualization with seaborn - Evaluate model fit and accuracy using numerical measures such as R² and RMSE - Model interaction effects in regression using basic feature engineering techniques This course runs on Coursera's hands-on project platform called Rhyme. On Rhyme, you do projects in a hands-on manner in your browser. 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, this means instant access to a cloud desktop with Jupyter Notebooks 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.
Kompetenzen, die Sie erwerben werden
Schritt für Schritt lernen
In einem Video, das auf einer Hälfte Ihres Arbeitsbereichs abgespielt wird, führt Sie Ihr Dozent durch diese Schritte:
Introduction and Overview
Load the Data
Relationships between Features and Target
Multiple Linear Regression Model
Feature Selection
Model Evaluation Using Train/Test Split and Model Metrics
Interaction Effect (Synergy) in Regression Analysis
Ablauf angeleiteter Projekte
Ihr Arbeitsbereich ist ein virtueller Desktop direkt in Ihrem Browser, kein Download erforderlich
Ihr Dozent leitet Sie in einem Video mit geteiltem Bildschirm Schritt für Schritt an.
Häufig gestellte Fragen
Häufig gestellte Fragen
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.
Wie erfolgen Rückerstattungen?
Ist finanzielle Unterstützung möglich?
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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