data-normalization

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

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.

A utility for defining metadata for data types and formats.

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)

I made various data normalization operations with python scripts. Target data in CSV format

Contact data normalization adapted from the Empreinte Sociométrique's normalizers

PKnorm: a nonlinear model for sequencing depth and signal-to-noise ratio normalization between epigenomic data

TP de Gestión de Datos UTN FRBA 2c 2019

A Simple example to show Why Data Normalization is necessary for Deep Learning

Python project

A collection of bioinformatics and data mining scripts

Database Development with SQL

I perform a comparative analysis of NBA and Euroleague Basketball by visualizing players' and teams' data I scrape from the internet.

Building an ETL pipeline🔀 that extracts data from AWS S3 🗑 stages them in Redshift 🗄🗄 and transforms data into a set of dimensional tables for the analytics team.

16sRNA Microbial Profiling R scripts to find most significant OTUs in 16RNA data after data normalization, followed by ordination and clustering and then plotting iTOL

📊 Use bootstrapping to normalise the data from opinion polls and make them similar to the population they represent.