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201801-r-para-ciencia-de-dados

Repositório com materiais de aula e exercícios para o curso "R para Ciência de Dados" ministrado em Janeiro e Fevereiro de 2018 no IME-USP

acic23-competition

Data for and description of the ACIC 2023 data competition

ai-law-minicourse

Mini-course for SCU Law

awesome-causality-algorithms

An index of algorithms for learning causality with data

awesome-feature-engineering

A curated list of resources dedicated to Feature Engineering Techniques for Machine Learning

awesome-production-machine-learning

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

awesome-time-series

list of papers, code, and other resources

aws_iam_automation

A small IaaC to migrate on-prem users to AWS using Terraform and Ansible.

causal-inference-tutorial

Repository with code and slides for a tutorial on causal inference.

causal_inference_webapp

Repositório destinado a aplicar a tópicos de inferência causal em um web app

conformal-prediction

Repositório contendo materiais de estudo sobre Predição Conforme.

dalex

Descriptive mAchine Learning EXplanations

data-science-on-gcp

Source code accompanying book: Data Science on the Google Cloud Platform, Valliappa Lakshmanan, O'Reilly 2017

datasciencer

a curated list of R tutorials for Data Science, NLP and Machine Learning

datasets-d-tiss---ans

This repository contains programs used to extract and modifies datasets from D-TISS - ANS.

dataviz

A book covering the fundamentals of data visualization.

deep_learning_for_structured_data

Production repo to accompany Deep Learning with Structured Data book from Manning: https://www.manning.com/books/deep-learning-with-structured-data

deeplearningcourses

This repository contains classes and notebooks with tutorials and projects in the Deep Leaning area.

deploying-machine-learning-models

Example Repo for the Udemy Course "Deployment of Machine Learning Models"

docker-introducao

Projeto criado durante a videoaula do canal Programador a Bordo https://www.youtube.com/watch?v=Kzcz-EVKBEQ

dvc_testing

Testes com a ferramenta DVC (ou Data Version Control). É uma ferramenta de gerenciamento de experimentos de ML e dados que aproveita o conjunto de ferramentas de engenharia existente com o qual você já está familiarizado (Git, CI/CD etc.).

earthengine-py-notebooks

A collection of 360+ Jupyter Python notebook examples for using Google Earth Engine with interactive mapping

feature-engineering-for-time-series-forecasting

free-data-science-books

Free resources for learning data science

gusbruschi13

interpretable-machine-learning

Repositório contendo materiais de estudo sobre Explicabilidade e Interpretabilidade de Modelos de Machine Learning.

islr-python

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

jupyter-treinamento-bigdata

Material Disponibilizado para Laboratórios do Curso de Big Data

lightgbm

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.

machine-learning

:earth_americas: machine learning tutorials (mainly in Python3)