What if the tools you already use could do more than you ever imagined? Picture this: you’re working on a massive dataset in Excel, trying to make sense of endless rows and columns. It’s slow, ...

This project loads a zip file from a remote location, unpacking and transforming its content using Pandas and other Python dependencies. After data transformation, a CSV file is stored locally, or in ...

Example of a diabetes dataset in CSV format. This dataset includes typical features used in diabetes datasets, such as patient ID, glucose level, blood pressure, insulin level, BMI, age, and a binary ...