IaaS vs. PaaS vs. SaaS: Intro to Cloud Computing
July 8, 2024
Article
Instructor: Ahmad Varasteh
1,969 already enrolled
Included with
(15 reviews)
Recommended experience
Intermediate level
Basic knowledge of Machine Learning and Decision Trees, Python programming language (basic concepts such as: loops, if statements and lists)
(15 reviews)
Recommended experience
Intermediate level
Basic knowledge of Machine Learning and Decision Trees, Python programming language (basic concepts such as: loops, if statements and lists)
Use AI driven solution to solve a business problem
Build a machine learning model with PySpark
Apply data cleansing activities using PySpark
Add to your LinkedIn profile
Only available on desktop
This 90-minute guided-project, "Pyspark for Data Science: Customer Churn Prediction," is a comprehensive guided-project that teaches you how to use PySpark to build a machine learning model for predicting customer churn in a Telecommunications company. This guided-project covers a range of essential tasks, including data loading, exploratory data analysis, data preprocessing, feature preparation, model training, evaluation, and deployment, all using Pyspark. We are going to use our machine learning model to identify the factors that contribute to customer churn, providing actionable insights to the company to reduce churn and increase customer retention. Throughout the guided-project, you'll gain hands-on experience with different steps required to create a machine learning model in Pyspark, giving you the tools to deliver an AI-driven solution for customer churn. Prerequisites for this guided-project include basic knowledge of Machine Learning and Decision Trees, as well as familiarity with Python programming concepts such as loops, if statements, and lists.
In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:
Set up the project environment (11 min)
Exploratory Data Analysis Part I - Numerical Columns (10 min)
Exploratory Data Analysis Part II - Categorical Columns (10 min)
Preprocess and clean data (7 min)
Demonstrate your understanding of Data Exploration and Preprocessing (5 min)
Prepare the input data for your model Part I - Numerical Features (6 min)
Prepare the input data for your model Part II - Categorical Features (10 min)
Train your decision tree (9 min)
Evaluate your model (11 min)
Deploy your model (6 min)
Challenge Activity: Employee Attrition Prediction (6 min)
Basic knowledge of Machine Learning and Decision Trees, Python programming language (basic concepts such as: loops, if statements and lists)
The Coursera Project Network is a select group of instructors who have demonstrated expertise in specific tools or skills through their industry experience or academic backgrounds in the topics of their projects. If you're interested in becoming a project instructor and creating Guided Projects to help millions of learners around the world, please apply today at teach.coursera.org.
Skill-based, hands-on learning
Practice new skills by completing job-related tasks.
Expert guidance
Follow along with pre-recorded videos from experts using a unique side-by-side interface.
No downloads or installation required
Access the tools and resources you need in a pre-configured cloud workspace.
Available only on desktop
This Guided Project is designed for laptops or desktop computers with a reliable Internet connection, not mobile devices.
15 reviews
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Reviewed on Jan 25, 2025
Good overview to understand basic codes for pyspark queries.
Reviewed on Jun 28, 2023
Explanation is very clear and easy to understand. Well structure.Many thanks.
Reviewed on Feb 5, 2025
Excellent course covering basic ML methods and using intermediate techniques to solve ML related problems with PySpark
Course
Edureka
Specialization
Coursera Project Network
Course
Edureka
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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.
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.
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.
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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Auditing is not available for Guided Projects.
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.
Yes, everything you need to complete your Guided Project will be available in a cloud desktop that is available in your browser.
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.