Darshil Chaudhary

Dataset Description using Orange tool. perform various data preprocessing tasks like Encoding, Normalization, Missing value handling and Feature Selection on data with help of various Orange functions. SCREENSHOT OF FIRST TASK FROM ORANGE TOOL FILE ENCODING For performing encoding you can use  Continuize Discrete Variables  option. One feature per value  creates columns for each value, place 1 where an instance has that value and 0 where it doesn’t.   NORMALIZATION  Normalization is used to scale the data of an attribute so that it falls in a smaller range, such as -1.0 to 1.0 or 0.0 to 1.0. Normalization is generally required when we are dealing with attributes on a different scale, otherwise, it may lead to a dilution in effectiveness of an important equally important attribute(on lower scale) because of other attribute having values on larger scale. We use the Normalize function to perform normalization. MISSING VALUE HANDLING  Add average or most freque...