Worked on the scikit-learn repository to enhance the IncrementalPCA component, focusing on improving reliability and test coverage for streaming and online learning workflows. Addressed a bug that previously restricted the number of samples in partial_fit calls, enabling n_components to exceed the number of samples in subsequent batches. This change allows for more flexible data processing in real-world scenarios where batch sizes may vary. Added a regression test in Python to ensure the new behavior remains stable and prevent future regressions. Emphasized robust software testing and maintained API compatibility, supporting practical machine learning pipelines using PCA and data science techniques.