Have you performed data preprocessing step?
As discussed before, you should perform some data pre processing steps for both train and test dataset before jumping into model building exercise. Here are a few things you need to perform at the minimum: * Missing value imputation * Outlier treatment * Label encoding for character variables * Algorithm selection
Which of the following steps have you performed till now with both train and test data set?
This exercise is part of the course
Introduction to Python & Machine Learning (with Analytics Vidhya Hackathons)
Exercise instructions
Impute missing values of all variables,Treat outlier and influential observations,Label encoding for character variables,All of the above
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