Need to do the below for a given data set – Looking for R Code Development
4. DATA PRE-PROCESSING……………………………………………………………………………………………………..
4.1 Variable Data Type Transformation:…………………………………………………………………………………
4.2 Removal of unwanted variables:……………………………………………………………………………………..
4.3 Missing Value Treatment:………………………………………………………………………………………………
4.4 Data split into test and train:…………………………………………………………………………………………..
4.5 Outlier treatment:………………………………………………………………………………………………………..
5. ANALYTICAL APPROACH:……………………………………………………………………………………………………
5.1 Model Building, Validation and Tuning………………………………………………………………………………
6. MODELLING PROCESS………………………………………………………………………………………………………..
7. MODEL COMPARISONS……………………………………………………………………………………………………..
1. Feature Selection using different methods:………………………………………………………………………..
2. Model Comparison after Feature Selection:………………………………………………………………………..