The WiDS Cambridge Datathon Workshop is an annual workshop preceding the WiDS Cambridge Conference. The workshop aims to provide mentorship and training for those interested in participating in the WiDS Datathon Challenge, and, more generally, anyone with a strong interest in data science.
View the Project on GitHub onefishy/wids_datathon
Regression
Topic 1: Introduction to Machine Learning and Data Science
Topic 2: Linear Regression
- Lecture Video:

(23:58 minutes)
- Lecture Slides: Slides
- References:
- Concept Quiz: Quiz
Topic 3: Multi-Linear and Polynomial Regression
Exploratory Notebook
Linear and Polynomial Regression
More on Regression
Topic 1: Probabilistic Models for Regression
- Lecture Video:
(24:46 minutes)
- Lecture Slides: Slides
- References:
- “Introduction to Statistical Learning”: Chapter 2.1, 3.1, 3.2, 7.1
- Concept Quiz: Quiz
Topic 2: Non-Probabilistic Models for Regression
Topic 3: k-Nearest Neighbor Regression
In-class Exercise: Probabilistic Models and Non-Probabilistic Models for Regression