MIT 15.071 The Analytics Edge, Spring 2017 4.4.6 R4. Regression Trees - Video 5: Putting it all Together
4.4.6 R4. Regression Trees - Video 5: Putting it all Together Transcript and Lesson Notes
MIT 15.071 The Analytics Edge, Spring 2017 View the complete course: https://ocw.mit.edu/15-071S17 Instructor: Iain Dunning Explores whether regression trees can build a predictive model for Boston house pricing. License
Quick Summary
MIT 15.071 The Analytics Edge, Spring 2017 View the complete course: https://ocw.mit.edu/15-071S17 Instructor: Iain Dunning Explores whether regression trees can build a predictive model for Boston house pricing. License
Key Takeaways
- Review the core idea: MIT 15.071 The Analytics Edge, Spring 2017 View the complete course: https://ocw.mit.edu/15-071S17 Instructor: Iain Dunning Explores whether regression trees can build a predictive model for Boston house pricing. License
- Understand how 15-071-the-analytics-edge-spring-2017 fits into 4.4.6 R4. Regression Trees - Video 5: Putting it all Together.
- Understand how catools fits into 4.4.6 R4. Regression Trees - Video 5: Putting it all Together.
- Understand how crime fits into 4.4.6 R4. Regression Trees - Video 5: Putting it all Together.
- Understand how geographical mapping fits into 4.4.6 R4. Regression Trees - Video 5: Putting it all Together.
Key Concepts
Full Transcript
MIT 15.071 The Analytics Edge, Spring 2017 View the complete course: https://ocw.mit.edu/15-071S17 Instructor: Iain Dunning Explores whether regression trees can build a predictive model for Boston house pricing. License: Creative Commons BY-NC-SA More information at https://ocw.mit.edu/terms More courses at https://ocw.mit.edu
Lesson FAQs
What is 4.4.6 R4. Regression Trees - Video 5: Putting it all Together about?
MIT 15.071 The Analytics Edge, Spring 2017 View the complete course: https://ocw.mit.edu/15-071S17 Instructor: Iain Dunning Explores whether regression trees can build a predictive model for Boston house pricing. License
What key concepts are covered in this lesson?
The lesson covers 15-071-the-analytics-edge-spring-2017, catools, crime, geographical mapping, linear regression.
What should I learn before 4.4.6 R4. Regression Trees - Video 5: Putting it all Together?
Review the previous lessons in MIT 15.071 The Analytics Edge, Spring 2017, then use the transcript and key concepts on this page to fill any gaps.
How can I practice after this lesson?
Practice by applying the main concepts: 15-071-the-analytics-edge-spring-2017, catools, crime, geographical mapping.
Does this lesson include a transcript?
Yes. The full transcript is visible on this page in indexable HTML sections.
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