mrcchl Goto Github PK

advancedml

aulas_computacional

Aulas de Estatística Computacional ministradas aos alunos do bacharelado em estatística da UFPB.

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

bedev_bemol

codigoscursos

curso-azure-devops

Repositório com a relação de todos os vídeos que fazem parte do curso gratuito de Azure DevOps

d2l-en

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 400 universities from 60 countries including Stanford, MIT, Harvard, and Cambridge.

data-science-for-marketing-analytics-second-edition

data-science-interviews

Data science interview questions and answers

developer-fast-track-v2

Developer Fast Track v2 - Innovation Team

engineeringmlops

Engineering MLOps, published by Packt

extrator-de-slides

Programa em Python - que fiz em algumas horas e que provavelmente tem bugs - para extrair slides de vídeos.

fpp3-python-readalong

Python-centered read-along of Forecasting: Principles and Practice

go-building-7-real-world-projects

Go: Building 7 Real-World Projects, published by Packt

heroku-docker-nginx-example

Barebones nginx installation on Heroku using Docker.

homemade-machine-learning

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

imersao9

javascript-for-r

JavaScript for R CRC Book

keras2kubernetes

Open source project to deploy Keras Deep Learning models packaged as Docker containers on Kubernetes.

lotofacil

Jogando na Lotofácil utilizando rede neural.

lpcd_final_activity

ma28cp-intro-to-machine-learning

machine_learning_complete

A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.

ml-for-beginners

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

my-first-static-web-app

pandapower-youtube

Code repository including the code I show in the pandapower youtube tutorial videos

probabilistic-programming-and-bayesian-methods-for-hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

pytorchstepbystep

Official repository of my book: "Deep Learning with PyTorch Step-by-Step: A Beginner's Guide"

r_everyone

stat_rethinking_2022

Statistical Rethinking course winter 2022