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Academic project for Engineering Systems using Big Data. Took up a Kaggle chalenge to solve problem of recommending user the suitable check-in in a location.

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Facebook_Kaggle_Challenge

A Big Data project

This repository contains two sub-projects and one R-code analysis:

Technologies Used

  1. Web service created using Java-JSP-Servlet
  2. Database - MongoDB
  3. IDE used - Eclipse NEON
  4. Server used - Tomcat / Spark
  5. AWS
  6. R

##1.fbcheckin_ui This is the interface for the user who inserts his location as (x,y) coordinate and sees which location is predicted for him

###Steps to run

  1. Download the git repository on your local
  2. Import as Maven Web Project
  3. Set up Tomcat in the servers http://localhost:8080/fbcheckin/

##2.Hadoop_Projects_0_20 This is the Hadoop 0.20 projects to implement the Supervised Learning on training data

###Steps to run

  1. Download the git repository on your local
  2. Import as General Project
  3. Run the following java classes: image image You will see series of trained outputs
  4. Running Location Generator - It is a map reduce job which parallely create location blocks image image
  5. Running DB insertion job - Map Reduce job to insert into MongoDB schema image image
  6. Running KNN - It is the validation / testing phase image image

##3.R-code

  1. HadoopProjectAnalysis : For analysis of data
  2. Running K-means Training Algorithm

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Academic project for Engineering Systems using Big Data. Took up a Kaggle chalenge to solve problem of recommending user the suitable check-in in a location.

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