Leveraging insights from EDA to build, train, and evaluate predictive Machine Learning models across three distinct data modalities.
Structured data in table form (CSV, Excel). Analysis includes basic statistics, missing values handling, and feature distributions.
Unstructured text (documents, reviews). Analysis includes word clouds, length distributions, and text preprocessing.
Image datasets (classification/detection). Analysis includes sample grids, resolution checks, and label distributions.