Image Source: ideogram
Pipeline to handle null values, data transformations, and outlier detection
Image Source: ideogram
We automate the process of extracting, transforming, and loading data from various data sources to a single database.
Image Source: ideogram
Create package for analyze dataset and generate stats, while identify any data anomalies.
Image Source: leonardo
Create a data science project folder and environment setup tool.
Image Source: leonardo
Create a validation pipeline to validate nulls, duplicates, and value ranges.
Image Source: leonardo
Create a tool that measures memory usage and execution time, identifying performance bottlenecks in Python code.
Image Source: leonardo
Build a tool to track and manage different dataset versions, essential for reproducible machine learning models.