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

Log Transformation with Regular Expressions

Normalize data with interfaces.

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.

🐧 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

Python-based web scraper developed to automate the collection of posts and comments from Facebook Groups. The scraper includes authentication using session cookies, data quality checks, deduplication, standardization, and export functionality to CSV, JSON, Excel, and HTML formats.

Repo where different multiclass supervised machine learning methods are used

Annotation driven library to help creating Modular Crypt Fromat algorithm outputs

Deep learning system to standardize billing products with a product master

Schema.org extension for bicycle and parts schema

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