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.

Normalize data with interfaces.

Log Transformation with Regular Expressions

Missing bridge for synccing keyboard events across applications

Fast, scalable package for routine attribute standardization tasks.

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

🐧 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!

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

Sprint 9, Task 1

Standardized reuseable pkg for Go

Repo where different multiclass supervised machine learning methods are used

Annotation driven library to help creating Modular Crypt Fromat algorithm outputs

Customer Segmentation

* Basis EDA * Handling Null/Missing Values * Handling Outliers * Handling Skewness * Handling Categorical Features * Data Normalization and Scaling * Feature Engineering *Accuracy score *Confusion matrix *Classification report

Schema.org extension for bicycle and parts schema

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