# Gaby AI Agent Features

- [Data Cleaning](https://whoamimi.gitbook.io/blog/projects/readme-1/gaby-ai-agent-features/data-cleaning.md): Documents on the procedures in cleaning and transforming datasets. This document details how I enabled Gaby to self-orchestrate his decision-making processes.
- [Stage I: Defining and Understanding the Dataset](https://whoamimi.gitbook.io/blog/projects/readme-1/gaby-ai-agent-features/data-cleaning/stage-i-defining-and-understanding-the-dataset.md): This is the initial stage of the data cleaning process and entails most of the priori's in the dataset.
- [Problem 1: Inconsistent Data type validations and labelling](https://whoamimi.gitbook.io/blog/projects/readme-1/gaby-ai-agent-features/data-cleaning/stage-i-defining-and-understanding-the-dataset/problem-1-inconsistent-data-type-validations-and-labelling.md): LLM generate inconsistent responses and distinct data profiling must be tested / validated before reaching the next stage of the E2E pipeline.
- [Problem 1: Solution](https://whoamimi.gitbook.io/blog/projects/readme-1/gaby-ai-agent-features/data-cleaning/stage-i-defining-and-understanding-the-dataset/problem-1-solution.md): Alternative to running prompt agent over a dataset.
- [Stage II: Missing Dataset](https://whoamimi.gitbook.io/blog/projects/readme-1/gaby-ai-agent-features/data-cleaning/stage-ii-missing-dataset.md): This stage is a workflow for making decisions on diagnosing missingness at the dataset and column levels.
- [Heckman Sample Selection Model](https://whoamimi.gitbook.io/blog/projects/readme-1/gaby-ai-agent-features/data-cleaning/stage-ii-missing-dataset/heckman-sample-selection-model.md): Once rejecting MAR assumptions for continuous data values, Heckman model can be used in reasoning steps to suspecting MNAR.
- [Stage III: Dedupe Dataset](https://whoamimi.gitbook.io/blog/projects/readme-1/gaby-ai-agent-features/data-cleaning/stage-iii-dedupe-dataset.md): Skeleton framework for handling duplicated datasets.
- [Stage IV: Anomaly Detection & Handling](https://whoamimi.gitbook.io/blog/projects/readme-1/gaby-ai-agent-features/data-cleaning/stage-iv-anomaly-detection-and-handling.md): Outlier detection cases.
- [Stage V: The End!](https://whoamimi.gitbook.io/blog/projects/readme-1/gaby-ai-agent-features/data-cleaning/stage-v-the-end.md): Contains the post database management and housekeeping methods to run when process is done.
- [Data Insights & Analytics](https://whoamimi.gitbook.io/blog/projects/readme-1/gaby-ai-agent-features/data-insights-and-analytics.md): Make pretty charts and dashboard pages!
- [Data Quality and Assurance](https://whoamimi.gitbook.io/blog/projects/readme-1/gaby-ai-agent-features/data-quality-and-assurance.md): Assess your datasets in real time - carefully selected insights by me but explored and optimized by Gaby AI on the long run.


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