Efsilvaa

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/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