> For the complete documentation index, see [llms.txt](https://book.thedatascienceinterviewproject.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://book.thedatascienceinterviewproject.com/model-building.md).

# MODEL BUILDING

- [Overview](https://book.thedatascienceinterviewproject.com/model-building/overview.md): This page broadly summarizes the steps needed to go from data gathering to model building
- [Data](https://book.thedatascienceinterviewproject.com/model-building/data.md)
- [Scaling](https://book.thedatascienceinterviewproject.com/model-building/data/scaling.md)
- [Missing Value](https://book.thedatascienceinterviewproject.com/model-building/data/missing-value.md)
- [Outlier](https://book.thedatascienceinterviewproject.com/model-building/data/outlier.md)
- [Sampling](https://book.thedatascienceinterviewproject.com/model-building/data/sampling.md)
- [Categorical Variable](https://book.thedatascienceinterviewproject.com/model-building/data/categorical-variable.md): In the realm of data analysis, categorical variables play a vital role in representing non-numeric data. To utilize these variables effectively it is essential to convert them into numerical form.
- [Hyperparameter Optimization](https://book.thedatascienceinterviewproject.com/model-building/hyperparameter-optimization.md)