Developing data products course project

I have made a small project which demonstrate Water Quality of River Ganga (India) in various places on-route (Year 2012) as a part of JHU Coursera Data Science specialization.

This project have two parts:

  1. Created a Shiny Application

I have created a Shiny Application to demonstrate Water Quality of River Ganga (India) in various places on-route (Year 2012)

https://ppant.shinyapps.io/Course-Project-Data-Products-Shiny-Application/

  1. Created an R presentation to pitch the idea with key features of the project, source code and other links

http://rpubs.com/ppant/DevDataProductsPres

References: Data set is given from https://data.gov.in (Open Government Data Platform India)

I will do more improvement in future to give more precise results and better visualization.

Check code at Github.

 

 

Interesting Machine learning algorithms in R

Widely used Machine learning algorithms in R

  • Linear discriminant analysis (LDA) — MASS package of R can be used
  • Regression (Linear & Logistic)
  • Naive Bayes
  • Support vector machines (SVM)
  • Classification and regression trees
  • Random forests (Tree based modelling) — There is excellent package randomForest in R
  • K-Means clustering — Kmeans package of R can be used
  • Boosting

One must check caret package of R it has plenty of function to perform many MI tasks like classification, training etc.  Finally,  CRAN is the place one should visit for R packages.

JHU Data Science Specialization Capstone

I have created a text prediction application as a part of Coursera Johns Hopkins University Capstone project.

Check below for resources.

Next Word Text Prediction Algorithm — Data Science Capstone Project by JHU and Swiftkey

Presentation:

http://rpubs.com/ppant/capstone-presentation

Application:

https://ppant.shinyapps.io/nextWordPredict/

Code:

https://github.com/ppant/Coursera-Data-Science-Capstone-Project

 

Request to use and provide your valuable suggestions for improvement.

Thanks