Full pipeline development covering data acquisition (scraping or API), advanced cleaning/feature engineering (using Pandas/Numpy), and delivery of a production-ready data set of up to 10,000 records/items. Includes a final data validation report.
What's included
ML-Ready Data Set (JSON/CSV)
The final structured data set, formatted and cleaned according to the specific requirements of the client's ML model (e.g., text pre-processed, images resized/labeled).
Data Scraping/Cleaning Script
The documented, repeatable Python script that executes the full data acquisition and cleaning logic, allowing the client to refresh the data set in the future.
Validation Report
A PDF or Jupyter Notebook file detailing the data's quality, completeness, and any labeling methodologies used, ensuring transparency and model reliability.
Full pipeline development covering data acquisition (scraping or API), advanced cleaning/feature engineering (using Pandas/Numpy), and delivery of a production-ready data set of up to 10,000 records/items. Includes a final data validation report.
What's included
ML-Ready Data Set (JSON/CSV)
The final structured data set, formatted and cleaned according to the specific requirements of the client's ML model (e.g., text pre-processed, images resized/labeled).
Data Scraping/Cleaning Script
The documented, repeatable Python script that executes the full data acquisition and cleaning logic, allowing the client to refresh the data set in the future.
Validation Report
A PDF or Jupyter Notebook file detailing the data's quality, completeness, and any labeling methodologies used, ensuring transparency and model reliability.