Jupyter notebooks for analysis of US federal debt levels, tax revenues, budget deficit, evolution of yields on treasury borrowings, treasury yield curves and inflation expectations, unemployment and participation rates, quantitative easing, industrial production, personal consumption and savings. All analysis is based on data provided by FRED.

SageWorks: An easy to use Python API for creating and deploying AWS SageMaker Models

Custom software development services specializing in AI/ML, data analysis, web scraping, and automation.

A light-weight, flexible, and expressive statistical data testing library

Pandalyzer is a code-analysis tool for analyzing scripts written in Python using the Pandas data-manipulation library. The tool is still under development and supports only a subset of Python constructs and Pandas operations. It uses Abstract Interperation framework defined in my bachelor thesis: https://github.com/Hrubian/bachelor-thesis

Data Analysis Practice Repository

A tool for performing cross-validation with panel data

Repositório que reuni os módulos 5 e 6 da formação Desenvolvimento IA 2023-2024, desenvolvido pela Rocketseat Education.

cuDF - GPU DataFrame Library

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

Apply Data Engineering to Personal Finance

A short exploratory data analysis

Code produced while taking Udemy course "100 Days of Code" (ongoing)

Micromaster ProgrammingForDataAnalysis Course - Winter2024 - Assignment04

Predicta: Simplify your workflow with our powerful data analysis and machine learning tool.

N-D labeled arrays and datasets in Python

Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage and metadata. Runs and scales everywhere python does.

Repositório que reuni os módulos 1 a 4 da formação Desenvolvimento IA 2023-2024, desenvolvido pela Rocketseat Education.

Complete Data Science, NumPy, Pandas, Matplotlib, Seaborn, Statistics, Power Bi, Machine Learning.