FxNorm-Automix - Implementation of automatic music mixing systems. We show how we can use wet music data and repurpose it to train a fully automatic mixing system
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Updated
Mar 11, 2024 - Python
FxNorm-Automix - Implementation of automatic music mixing systems. We show how we can use wet music data and repurpose it to train a fully automatic mixing system
Term Project repository for System Analysis and Design course in ITM, Seoultech.
A utility for defining metadata for data types and formats.
I made various data normalization operations with python scripts. Target data in CSV format
ETL batch processing data pipeline from the Costa Rica Stock Exchange (Bolsa Nacional de Valores de Costa Rica)
A collection of bioinformatics and data mining scripts
This project focuses on creating a simple data warehouse using SQLite. It includes scripts for table creation, data loading, and querying the database, providing a foundational understanding of data warehousing concepts. This project is ideal for those interested in database management and data retrieval.
A large pile of interesting and/or useful information
Feature wise normalization: An effective way of normalizing data
Python project
Developed a Python-based web scraper leveraging generative AI with LangChain and GPT-4o-mini to extract and classify FDA drug approval data. Processed over 1,770 records, dynamically categorizing medications and treatment areas using LLMs to simplify complex medical information into actionable insights.
Pyrus is a comprehensive Python toolkit library that provides developers with a range of modules for managing different aspects of their projects. It includes modules for reading and writing files, handling data, working with media, presenting and cleaning data, and more.
Developed a query based data retriever using SQL and its Python connection using PyMySQL. Done as a part of the Data & Applications course @ IIIT Hyderabad
FreeCodeCamp data analysis challenge: Medical Data Visualizer 📊
The data preprocessing pipeline for the Gtex project (for human data)
Normalizing | Preprocessing | scaling of data
The data preprocessing pipeline for the VISION project (for human data)
AlexNet Transfer Learning for Feature Extraction and Selection
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