Data Science

Task-1: Dataset Description using Orange tool. What is need to be done to improve the accuracy of the classification result of the given dataset? Get the maximum classification accuracy possible by performing the following methods. -->Pre-processing o Encoding o Normalization o Missing value handling o Feature Selection Compare your accuracy with and without applying pre-processing steps. Perform the Classification and visualize accuracy before and after preprocessing in Orange/Python. What is Data Pre-processing? In any Machine Learning process, Data Preprocessing is that step in which the data gets transformed, or Encoded, to bring it to such a state that now the machine can easily parse it. In other words, the features of the data can now be easily interpreted by the algorithm. Encoding Encoding is the process of converting data from one form to another. While "encoding" can be used as a verb, it is often used as a noun, and refers to a specific type of encoded data Nor...