###DS Specialization Courses
This repository has my codes and answers for the DS specialization.
The link for my github pages: http://rodrigodealexandre.github.io/DS-Courses/ The link to my github files: https://github.com/rodrigodealexandre/DS-Courses
In this project, we receive a text data set from English origin and we are supposed to create an APP capable of predicting the next possible word. The functionality of the app should be like the SwiftKey app. The APP is in R and converted to Shiny.
This aim of this capstone project is to develop a data scientist mind. Therefore, we are supposed to learn how to acquire, clean, explore, interpret, develop workarounds, create logical reasoning, develop codes, improve predictive accuracy, reduce computational runtime and model complexity, and for last, present your final findings.
To see my final app please visit the link https://rodrigodealexandre.shinyapps.io/predictive_text_model/
My short version of the milestone report can be download from here and the full version with the codes here.
My final report can be downloaded from here.
For this course, we were supposed to work with two sets of data, the training and th test. The final report was called PredictionAssignmentWriteup. To see the index.html or report.html for this report please click on this link.
In this course, we had our first interaction with shinyapps. As result from the course, we were supposed to create a simple app with the iris dataset. The final app can be found at this link. Furthermore, for this course we also made slides to explain how this app works. These slide can be found at this link.
The assignment 1 can be seen at this link This course assignment 2 can be seen at this link or at RPubs.
Work for the course Regression Models can be found in this link.
This course was my first contact with R. Here I've learn the basic principles of R programing
This lecture was attend at the same time as R programing. At the same time we learned the basics of programming, we also learned how to obtain and clean data using R.
The aim of this course was to learn how to plot with R with multiple graphical devices. See assignment 1 and assignment 2 graphs.