Pedro Carneiro Jr.'s repositories
GestorBases
Gestor de Bases de Dados
datasciencecoursera
My repository for The Data Scientist’s Toolbox Course Project: Setting up accounts of the Data Science Course at Coursera.
DataScienceSpecialization.github.io
http://DataScienceSpecialization.github.io
ExData_Plotting1
Plotting Assignment 1 for Exploratory Data Analysis
GetAndCleanData
For the Coursera getdata-012 course: This is the Github repository with my script for performing the analysis, containing also a code book that describes the variables, the data, and any transformations or work that I have performed to clean up the data called CodeBook.md. Include a README.md. This repo explains how all of the scripts work and how they are connected.
json2pandas_tutorial
Some tests on reading from json into s dataframe, flattening nested json files into dataframes, and on getting specific values from deeply nested json files.
iot-hub-dotnet-simulated-device-client-app
Application collects simulated weather data and sends it to IoT hub, also take actions according to cloud-to-device message.
ms_notepad_tricks
This is a collection of tricks and tips for using Microsoft Notepad. It seems that they also work for Textpad, Notepad++, etc. Let's see...
myHomeProj4JH
My JH DS Toolbox course repo
myJHDataScientistsToolBox
My Johns Hopkins Data Scientists Toolbox Repo
MyKivyTutorialLog
A log of my studies on the Kivy tutorial available from HashLDash 's Youtube channel.
MyPythonMLConceptsStudies
My Python ML Concepts Studies
openSCN
Sistema de Controle de Numeração SISBOV em ASP Clássico
pedrokarneiro
Config files for my GitHub profile.
pedrokarneiro.github.io
Personal Web Site
pedros_python_funcs
My Python functions for general usage.
ProgrammingAssignment2
Repository for Programming Assignment 2 for R Programming on Coursera
Python_MongoDB_Study
My Python with MpngoDB studies based on the W3Schools tutorial.
Pytients
A software to manage patients.
R_LeastSquareMethod_LR
Step-by-step concept proof and examle of the Least Square Method for Linear Regression using R language. The code is long with the purpose to show what goes under the hood in a linear regression calculation.
RepData_PeerAssessment1
Peer Assessment 1 for Reproducible Research
test_repository
Just for catching up with Git stuff again.