Predictive Modeling and Mobility Pattern Analysis

The predictive modeling process begins once a set of current or historical data is collected for analysis. Then data scientists or analysts create algorithms and statistical models, train them with subsets of the data and run them against the full data set to generate the predictive model. In many cases, multiple models are used at once to create one prediction. While the terms predictive modeling and predictive analytics are sometimes used interchangeably. Modeling can be seen instead as the hands-on part of analytics applications. Mobility report from Google can impact many areas of life including economy and also matters to policy maker, with such mobility data as well as analysis we can also predict.