Imagine that we conduct a training program to educate people on healthy living habits, and we want to know whether the training is effective. If so, we can better convince more people to participate and justify for grants to keep the program running. To validate the program’s effectiveness, we can design an A/B test. Such tests are used to compare results from two options,...
Read More
Whenever you spot a trend plotted against time, you would be looking at a time series. The de facto choice for studying financial market performance and weather forecasts, time series are one of the most pervasive analysis techniques because of its inextricable relation to time—we are always interested to foretell the future.
Can several wrongs make a right? While it may seem counter-intuitive, this is possible, sometimes even preferable, in designing predictive models for complex problems. Earlier in this two-part series, we looked at how kernel density plots can be used to visualize soccer shots data. We now look at how a random forest model can
.