In this course, you'll review the specifics of the Capstone project. In addition, you will create and run your regression model and share your results with your peers. Let's get started!
Capstone: Data Science Problem in Linear Algebra Framework
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Capstone: Data Science Problem in Linear Algebra Framework
This course is part of Linear Algebra for Data Science Using Python Specialization
Instructors: Dennis Davenport
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Gain insight into a topic and learn the fundamentals.
8 hours to complete
3 weeks at 2 hours a week
Flexible schedule
Learn at your own pace
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Taught in English
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This course is part of the Linear Algebra for Data Science Using Python Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 4 modules in this course
In module 1, you’ll learn about the steps you will take to complete the Capstone Project. We will cover the following learning objectives.
What's included
4 videos1 reading1 discussion prompt
Let’s recap! In module 1, you were introduced to the Capstone project and Tasks 1-4. In module 2, you’ll complete Task 1: Data wrangling and Task 2: Use PCA to reduce the number of dimensions. We will cover the following learning objectives.
What's included
2 videos2 peer reviews1 discussion prompt
Let’s recap! In module 2, you learned how to complete Tasks 1 & Task 2. In module 3, you will learn how to complete Task 3: Run your regression model and Task 4: Interpret the results from your model. We will cover the following learning objectives.
What's included
4 videos2 peer reviews1 discussion prompt
Welcome to the final module of this course! Over the past 3 modules, you have been introduced to and gained knowledge on the following topics: Data wrangling (Task 1),Use PCA to Reduce the Number of Dimensions (Task 2), Run your regression model (Task 3) and, Interpret the results from your model (Task 4). In this final module you will prepare your final Capstone Project, submit it, discuss what you learned and complete peer reviews. We will cover the following learning objectives.
What's included
1 video1 peer review1 discussion prompt
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