standarization

PCA Insights is a data analysis project aimed at applying Principal Component Analysis (PCA) to high-dimensional datasets for dimensionality reduction, visualization, and exploration.

Biblioteca Rust com bindings em Python e R para padronizar e separar endereços brasileiros

Standarizing IT requirements

Advanced Lando tooling to improve day to day work.

A data processing and analysis pipeline designed to handle various jobs related to data transformation, quality assessment, deduplication, and formatting.

Missing bridge for synccing keyboard events across applications

Normalize data with interfaces.

Log Transformation with Regular Expressions

🐧 Clustering analysis of Antarctic penguins using unsupervised learning (K-Means, t-SNE, elbow method) to explore species and sex-based groupings — with a plot twist!

Sprint 9, Task 1

Repo where different methods for price regression are used (supervised machine learning)

The future of C++ ; What must change and why?

Fast, scalable package for routine attribute standardization tasks.

Deep learning system to standardize billing products with a product master

Standardized reuseable pkg for Go

PL: Wtyczka QGIS Algolytics do standaryzacji polskich danych adresowych i geokodowania EN: Algolytics QGIS plugin for Polish address standarization and geocoding

Repo where different multiclass supervised machine learning methods are used

Annotation driven library to help creating Modular Crypt Fromat algorithm outputs

Schema.org extension for bicycle and parts schema

This repository contains a machine learning project aimed at predicting housing prices in Boston. This project showcases the end-to-end process of building and deploying a machine learning model, from data preprocessing and model training to serialization and deployment.