The world has witnessed the most exciting high-tech projects integrating the knowledge from two or more well-established and fast-growing technology applications including applying machine learning to filter and analyse huge datasets harnessed from the Internet of Things (IoT). To reach its full potential, IoT harnesses inputs from artificial intelligence to include all sorts of sensors and smart devices plunged into the internet to exchange data with each other. This industry is growing phenomenally and is expected that in the years till 2022 there will be around 50 billion devices connected to the network, an enormous 140% increase when compared to 2018 and this number could reach a mammoth 1 trillion devices in 2035. This massive upsurge will lead to an exceptional rise in the amount of data which is exchanged making it nearly impossible to be analysed deploying traditional methods. The big question is can machine learning be deployed to help with data sorting and analysis?