Associated with: University of California, Berkeley
Class: DATA 100: Principles and Techniques in Data Science.
- Worked on an Extensive Housing data embedded in a dense social context in Cook County, Illinois to delve deeper into the implications of predictive modeling within the Cook County Assessor's Office (CCAO) case study, especially because statistical modeling is how the CCAO evaluate properties. Learnt about the thought processes that lead to modeling decisions.
Learnings:
- exploratory visualizations
- feature engineering techniques
- thought process that leads to certain modeling decisions
- data processing pipelines
- linear regression model using the ordinary least squares estimator
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