Knowledge discovery is the nontrivial extraction of implicit, previously unknown, and potentially useful information from data ^[17]. NetCDF is network common data format which is self-describing and converting various heterogeneous data into some common format or portable ^[4]. The proposed system mainly focuses on extraction of knowledge using NetCDF datasets with the help of well suited Machine Learning techniques. Machine learning techniques are better computing technologies continue to revolutionize the capability to solve larger and more complex problems in science and engineering. Machine learning optimizes a performance criterion using example data or past experiences or training datasets ^[7]. Moreover Machine learning for NetCDF datasets yields better statistical data prediction using R programming language.