In this projected, I have worked on highly unbalanced data to classify loan defaults and get some insights in Credit data. Credit Risk Modeling is a big task in the banking industry and is done to grant or decline a loan to a customer.

In this project, I have tried to answer the question : Does people’s opinion of how to get ahead affect their education level and family income? I have made use of 3 variables for the same, namely, getaheah, coninc and degree from the GSS dataset.

This is the Sentiment Analysis on Barclays. The Polarity Plot and the Word Cloud are available here. Polarity Plot : http://rpubs.com/shivong_27/polarity_plot WordCloud : http://rpubs.com/shivong_27/word_cloud

This is the Polarity Plot for the Sentiment Analysis done on Barclays. This plot tells if the extracted sentiments are positive,negative or neutral.

This is the WordCloud for the Sentiment Analysis done on Barclays.

This is a paper about market research done on a fruit drink company in R.

This project makes use of the GSS(General Social Survey) dataset. This data analysis project tells us if at all there is any relationship between one's exam scores and race.