Implementation of Naive Bayes classifier from scratch using pandas and numpy
Each feature makes an independent and equal contribution to outcome of whether a person will buy a computer or not based on income , age etc. The training and testing dataset is small in size as it was implemented for academic and learning purpose , giving an accuracy of 100.00%. The accuracy tends to change as testing dataset increases.