Internet of Things (IoT) is an emerging technology, which integrates all everyday objects and services into the common network platform like Internet. With the help of IoT, every physical object is converted as smart object. Each of the physical object is identified uniquely and can sense the information in the environment and to take decisions based on that. IoT is useful in many of the applications, including home automation, retail, industry control, agriculture, health monitoring, etc. In healthcare domain, some of the IoT-based applications include, monitoring old people for fall detection, monitoring temperature conditions inside refrigerator for storing medicines, vaccines, and monitoring of patient’s condition in hospitals and home. Machine Learning applications in Healthcare also seems to be endless. In this paper, we have investigated IoT based applications in healthcare and performed an experimental analysis of healthcare data-sets using machine learning techniques.