Today we are demo-ing the h2o package for machine learning on time series data. Every day this week we are demoing an R package: tidyquant (Monday), timetk (Tuesday), sweep (Wednesday), tibbletime (Thursday) and h2o (Friday)! We'll give you intel on what you need to know about these packages to go from zero to hero. Today you'll see how we can use timetk h2o to get really accurate time series forecasts. The h2o package is a product offered by H2O.ai that contains a number of cutting edge machine learning algorithms, performance metrics, and auxiliary functions to make machine learning both powerful and easy.
This article was published as a part of the Data Science Blogathon. Anomaly detection is a process in Data Science that deals with identifying data points that deviate from a dataset's usual behavior. Anomalous data can indicate critical incidents, such as financial fraud, a software issue, or potential opportunities, like a change in end-user buying patterns. Let us download the dataset from the Singapore Government's website that is easily accessible.- Singapore's government data website is quite easily downloadable.