The exercise is followed as it is presented in the book - Introductory Time Series with R - Paul S.P. Cowpertwait and Andrew V. Metcalfe.

The exercise here is followed through, in the book Introductory Time Series with R, Paul S.P. Cowpertwait, Andrew V,Metcalfe

The exercise consists in applying basic sql functions in python. Zopa is used as a database that was provided by an agent during the hirring process. Additionally, I have reproduced the same exercise but within R environment for the sake of getting used to different libraries in both, python and r.

The exercise consists in SQLite basic exercise using R environment. The database has been provided by an agent as an exercise during the hiring process.

The data is provided by kaggle.com. This data has been part of a competition a few years back. R-Studio has been used. In predicting the Score, I have used of tools usually applied in Sentiment Analysis, identifying the positive and negative words. Then developed several Machine Learning Models.

The example contains the preprocessing of the data as well alongside the classification Machine Learning models which I have developed. The task is achieved in RStudio.

Two exercises I have achieved here - Predicting the returns in markets and Predicting the Car Sale. The datasets are provided by ISLR library.