Data Engineering
DBT fundamentals
Built a project with dbt including modeling, sources, testing, documentation, and deployment
Photo by Joel Filipe on Unsplash
Python Development
mlskeleton, the open-source python package
mlskeleton, the open-source python package, can help you create a professional and organized folder structure for your machine learning projects and streamline your workflow.
This package is designed to help users easily set up a standard folder structure for machine learning and deep learning projects.
mlskeleton aims to make it easy for users to set up a consistent and organized folder structure for their projects. It includes a range of common folders and files that you might need for your project, such as data folders, model files, Jupyter notebooks, and source code files.
Tools Used:
- Python
- pypi
Skills Developed:
- Machine Learning
- Python Programming
Next
Machine Learning
Loan Defaults prediction
This project, part of the Coursera Data Science Coding Challenge, aims to predict loan defaults based on various borrower-specific features. Understanding the patterns and correlations in the data allows lenders to better predict and mitigate potential loan defaults, ensuring a healthier portfolio and risk management.