MIT 15.071 The Analytics Edge, Spring 2017 3.3.5 The Framingham Heart Study - Video 3: A Logistical Regression Model
3.3.5 The Framingham Heart Study - Video 3: A Logistical Regression Model Transcript and Lesson Notes
MIT 15.071 The Analytics Edge, Spring 2017 View the complete course: https://ocw.mit.edu/15-071S17 Instructor: Allison O'Hair Using the risk factor data to see if we can predict the 10-year risk of Coronary Heart Disease
Quick Summary
MIT 15.071 The Analytics Edge, Spring 2017 View the complete course: https://ocw.mit.edu/15-071S17 Instructor: Allison O'Hair Using the risk factor data to see if we can predict the 10-year risk of Coronary Heart Disease
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: Allison O'Hair Using the risk factor data to see if we can predict the 10-year risk of Coronary Heart Disease
- Understand how CHD fits into 3.3.5 The Framingham Heart Study - Video 3: A Logistical Regression Model.
- Understand how training set fits into 3.3.5 The Framingham Heart Study - Video 3: A Logistical Regression Model.
- Understand how testing set fits into 3.3.5 The Framingham Heart Study - Video 3: A Logistical Regression Model.
- Understand how caTools fits into 3.3.5 The Framingham Heart Study - Video 3: A Logistical Regression Model.
Key Concepts
Full Transcript
MIT 15.071 The Analytics Edge, Spring 2017 View the complete course: https://ocw.mit.edu/15-071S17 Instructor: Allison O'Hair Using the risk factor data to see if we can predict the 10-year risk of Coronary Heart Disease. 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 3.3.5 The Framingham Heart Study - Video 3: A Logistical Regression Model about?
MIT 15.071 The Analytics Edge, Spring 2017 View the complete course: https://ocw.mit.edu/15-071S17 Instructor: Allison O'Hair Using the risk factor data to see if we can predict the 10-year risk of Coronary Heart Disease
What key concepts are covered in this lesson?
The lesson covers CHD, training set, testing set, caTools, identifying variables.
What should I learn before 3.3.5 The Framingham Heart Study - Video 3: A Logistical Regression Model?
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: CHD, training set, testing set, caTools.
Does this lesson include a transcript?
Yes. The full transcript is visible on this page in indexable HTML sections.
Is this lesson free?
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