This presentation is about the final text prediction application that has been created to fulfil the requirements of the Coursera JHU Capstone Project in association with SwiftKey.

This report has been created to fulfill the requirements of the exploratory analysis milestone for the Data Science Capstone offered by the Johns Hopkins University on Coursera. Here we will be analyzing the English dataset from the data provided by SwiftKey belonging to a corpus called HC Corpora.

Twitter is a popular social platform for expressing our emotions, activites and also for getting a massive amount of information around the web. Using R, we will see here how to access tweets which can be analyzed later for different purposes like text analytics.

This detailed analysis has been performed to fulfill the requirements of the course project for the course Practical Machine Learning offered by the Johns Hopkins University on Coursera. Using devices such as Jawbone Up, Nike FuelBand, and Fitbit, it is now possible to collect a large amount of data about personal activity relatively inexpensively. The main objectives of this project are as follows 1. Predict the manner in which they did the exercise depicted by the classe variable. 2. Build a prediction model using different features and cross-validation technique. 3. Calculate the out of sample error. 4. Use the prediction model to predict 20 different test cases provided.

This detailed analysis has been performed to fulfill the requirements of the course project for the course Regression Models offered by the Johns Hopkins University on Coursera. In this project, we will analyze the mtcars data set and explore the relationship between a set of variables and miles per gallon (MPG)

This detailed analysis has been performed to fulfill the requirements of the second peer assessment for the course Reproducible Research offered by the Johns Hopkins University on Coursera. In this project, we will explore and analyse the U.S. National Oceanic and Atmospheric Administration's (NOAA) storm database.