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
Computational Suite for Bioinformaticians and Biologists (CSBB) is a RShiny application developed with an intention to empower researchers from wet and dry lab to perform downstream Bioinformatics analysis
An exploratory data analysis on a global terrorism dataset
Machine Learning Algorithms to predict overall movie gross using IMDB dataset from kaggle
Term Project repository for System Analysis and Design course in ITM, Seoultech.
preon (PREcision Oncology Normalization) is a fuzzy search tool for medical entities.
A utility for defining metadata for data types and formats.
Contact data normalization adapted from the Empreinte Sociométrique's normalizers
I made various data normalization operations with python scripts. Target data in CSV format
Web app to fetch artists events data via public API. Managing global state with redux-toolkit. Responsive design with material-ui. Cool animations and transitions
The data preprocessing pipeline for the VISION project (for mouse data)
Feature Engineering with Python
ETL batch processing data pipeline from the Costa Rica Stock Exchange (Bolsa Nacional de Valores de Costa Rica)
The aim of this project is to develop, design, and build a comprehensive and scalable database system for Olist Store to handle potential increases in data volume and allow for more efficient data collection, retrieval, and organization.
A collection of bioinformatics and data mining scripts
Database Development with SQL
data rescaling, normalization and standardization techniques
Feature wise normalization: An effective way of normalizing data
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.
📊 Use bootstrapping to normalise the data from opinion polls and make them similar to the population they represent.
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