Pinned Repositories
adp-powell-exercises
Approximate Dynamic Programming exercises from Powell (2011)
cheatsheets
RStudio Cheat Sheets
Deep-Reinforcement-Learning-Hands-On-Second-Edition
Deep-Reinforcement-Learning-Hands-On-Second-Edition, published by Packt
dockerfile-r
Creating a Jupyter R kernel with a Dockerfile
IntroML_Bookdown
Livro bookdown html
IntroR
Material de Referência para o curso de introdução ao R/RStudio
intuitive_policy_gradient
MLRTemplate
Template for publishing projects reports in lecture "Introduction to Data Science and Machine Learning"
ModeloProjetoML
Modelo de um projeto estruturado em diretórios no R/RStudio
seqdec_powell_repo
This repo will provides the python codes for the book "SEQUENTIAL DECISION ANALYTICS AND MODELING" written by Proff. Warren B. Powell in the notebook format.
Efsilvaa's Repositories
Efsilvaa/adp-powell-exercises
Approximate Dynamic Programming exercises from Powell (2011)
Efsilvaa/cheatsheets
RStudio Cheat Sheets
Efsilvaa/intuitive_policy_gradient
Efsilvaa/seqdec_powell_repo
This repo will provides the python codes for the book "SEQUENTIAL DECISION ANALYTICS AND MODELING" written by Proff. Warren B. Powell in the notebook format.
Efsilvaa/Deep-Reinforcement-Learning-Hands-On-Second-Edition
Deep-Reinforcement-Learning-Hands-On-Second-Edition, published by Packt
Efsilvaa/IntroR
Material de Referência para o curso de introdução ao R/RStudio
Efsilvaa/cheatsheets-ai
Essential Cheat Sheets for deep learning and machine learning researchers
Efsilvaa/covid19model
Code for modelling estimated deaths and cases for COVID19.
Efsilvaa/descriptr
Generate descriptive statistics
Efsilvaa/dlaicourse
Notebooks for learning deep learning
Efsilvaa/EconometricsWithR
📖An interactive companion to the well-received textbook 'Introduction to Econometrics' by Stock & Watson (2015)
Efsilvaa/EduardoEPS
Material para o curso EPS7001
Efsilvaa/estatisticaREC
Efsilvaa/handson-ml
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
Efsilvaa/intro_statistics_R
Introduction to Statistics and Data Analysis with R
Efsilvaa/JacksCarRental
Jack's Car Rental problem and its variant as mentioned in Example 4.2 and Exercise 4.3 respectively of the book by Sutton and Barto (Reinforcement Learning: An Introduction, Second Edition)
Efsilvaa/MateusMocelin
Dados e R Script trabalho realizado por Mateus Mocellin
Efsilvaa/nCovForecast
Code for nCov forecasting tool (Shiny app)
Efsilvaa/oiLabs-base-R
Source files for OpenIntro Statistics labs
Efsilvaa/pydata-book
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
Efsilvaa/reinforcement-learning-an-introduction
Python Implementation of Reinforcement Learning: An Introduction
Efsilvaa/Reinforcement-Learning-Specialization
[Coursera] Reinforcement Learning Specialization by "University of Alberta" & "Alberta Machine Intelligence Institute"
Efsilvaa/rethinking
Statistical Rethinking course and book package
Efsilvaa/reveal.js
The HTML Presentation Framework
Efsilvaa/shiny.decisions
A game about making the best of terrible choices
Efsilvaa/socviz
Support files for a data visualization course and book
Efsilvaa/stochastic-optimization
Sequential Decision Problem Modeling Library @ Castle Lab, Princeton Univ.
Efsilvaa/testRepo
This is a test repo
Efsilvaa/Tikz
Galley of Tikz drawings.
Efsilvaa/UFSC_Comcap
Repositório para compartilhamento Projeto Extensão COMCAP