Gil Miranda's starred repositories
Microsoft-Activation-Scripts
A Windows and Office activator using HWID / Ohook / KMS38 / Online KMS activation methods, with a focus on open-source code and fewer antivirus detections.
Made-With-ML
Learn how to design, develop, deploy and iterate on production-grade ML applications.
handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Awesome-CV
:page_facing_up: Awesome CV is LaTeX template for your outstanding job application
data-engineer-roadmap
Roadmap to becoming a data engineer in 2021
mlops-zoomcamp
Free MLOps course from DataTalks.Club
machine-learning-zoomcamp
Learn ML engineering for free in 4 months!
data-science-interviews
Data science interview questions and answers
Data-science
Collection of useful data science topics along with articles, videos, and code
python-causality-handbook
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
gatsby-themes
Get high-quality and customizable Gatsby themes to quickly bootstrap your website! Choose from many professionally created and impressive designs with a wide variety of features and customization options.
machine_learning_refined
Notes, examples, and Python demos for the 2nd edition of the textbook "Machine Learning Refined" (published by Cambridge University Press).
BeautifulAlgorithms.jl
Concise and beautiful algorithms written in Julia
ISLR-Answers
Solutions to exercises from Introduction to Statistical Learning (ISLR 1st Edition)
modelos_vol_derivativos
Jupyter notebooks que acompanham o livro "Modelos de Volatilidade para Derivativos"
mlops_project
an end-to-end mlops project
razv-data-engineering
Portfolio of projects and studies conducted in data engineering.
machine-learning-for-software-engineers
A complete daily plan for studying to become a machine learning engineer.
Kitchenware_classification
Convolutional Neuronal Network and Deployment for Classification of Kitchenware