The advancement in sensory equipment fuels the expansion of the Internet of Things (IoT) across the globe. The usage of diversified applications and IoT devices generates massive sensor data which in turn need analytics or intelligent processing system. IoT, Machine Learning, and Fog Computing are utilized to achieve healthcare assistance and diagnosis progression in diverse aspects. Machine Learning is a kind of data analysis technique that retrieves the needed information without performing any explicit program. This chapter focuses on two diverse paradigms such as machine learning and fog computing which concern the processing and analysis of sensor data. The taxonomy of Machine Learning algorithms, significant aspects of Machine Learning in IoT based Big data analytics and applications of Machine Learning based IoT techniques are elaborated. This chapter also elucidates fog computing and its tiered computing architecture for healthcare. The major issues and the future research directions of IoT Data analysis are also explained in this chapter.