Rodrigo Veiga's repositories
Coursera-Inferential_Statistics_with_R
This repository contains activities and lectures notes from the Coursera Inferential Statistics course, which is part of the Statistics with R specialization.
ML_with_Python-Study_notes
These are study notes from the book Introduction to Machine Learning with Python, by Andreas C. Müller and Sarah Guido.
Belief-Propagation
Overview and implementation of Belief Propagation and Loopy Belief Propagation algorithms: sum-product, max-product, max-sum
Coursera-Getting_and_Cleaning_Data
This repository contains lectures notes and the project activity from the Coursera Getting and Cleaning Data course, which is part of the Data Science specialization.
DataCamp-Credit_Risk_Modeling_in_R
This repository contains lectures notes from the DataCamp Credit Risk Modeling in R course, which is part of the Applied Finance with R series.
DeepLearningTutorials
Deep Learning Tutorial notes and code. See the wiki for more info.
machine-learning
Content for Udacity's Machine Learning curriculum
neural-networks-and-deep-learning
Code samples for my book "Neural Networks and Deep Learning"
neural_nets_deep_learning
This repository is dedicated for studying the content of the free online book "Neural Networks and Deep Learning" by Michael Nielson.
ProgrammingAssignment2
Repository for Programming Assignment 2 for R Programming on Coursera
Python-Intro_codes
This is a collection of Python introductory codes. Most of them are just exercises from online courses, stored here for a possible future consultation.
sgd.stability
Analyze the dynamic stability of SGD
ud120-projects
Starter project code for students taking Udacity ud120
xor_function
Code example of a Neural Network for the function XOR