Calista ML Labs is a personal machine learning and applied AI laboratory by Calista Salsabila.

This organization is dedicated exclusively to machine learning–focused work, including:

• Classical machine learning (classification, regression, clustering)
• Data preprocessing, feature engineering, and exploratory analysis
• Model evaluation, experimentation, and iteration
• Applied ML projects and small-scale research implementations
• Learning-oriented implementations of ML concepts

Web-focused development, UI engineering, and system design projects are maintained at calista-web-labs.

Cross-domain experiments (ML × Web), general coding labs, and programming language explorations are maintained at calista-labs.

This lab exists as a focused space for machine learning exploration and growth:

• understanding ML fundamentals through hands-on projects
• experimenting with models, datasets, and evaluation strategies
• translating theoretical concepts into working implementations

Projects here may include notebooks, experiments, prototypes, and iterative builds.

All repositories in this organization are personally developed and maintained by Calista Salsabila.

Some repositories are experimental or works in progress by design. Each repository README describes its scope, goals, and current status.

Calista ML Labs serves as a focused archive of machine learning exploration and applied learning.