Abstract

Nowadays the amount of data generated is in massive form. Continuously data is generated by the IoT sensors which is in unstructured form and this unstructured data is to be converted into structured form so that knowledge is to be extracted from it. Data generated is useful for a different type of analysis such as forecasting data that can be used for analysis for future prediction. For many organization performing analytics on such vast data become challenge. In this paper, machine learning algorithms i.e. SVM, KNN, Logistic regression, Linear Regression, and Decision tree are applied on such data and which is then converted into a structured form which helps in future prediction and compared the accuracy of each algorithm.

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