Salary Prediction take on various features such as years of experience, age, and much more and its completely make use of Python
A data mining technique is applied to generate a model to predict a salary for individual students who have similar attributes to the training data. In this work, we also made an experiment to compare five data mining techniques including Decision trees, Naive Bayes, K-Nearest neighbor, Support vector machines, and Neural networks to find the suitable technique to the salary prediction.
Results showed that K-Nearest neighbor provided the best efficiency to be used as a model for salary prediction.
Submitted by Saraansh Mishra (7691)
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