Data analysis, exploration, engineering features, handling null values to estimate the pricing of houses using various factors.

Need to analyse the data and fix the issue by using Microsoft tools

Data analysis, engineering features, split data set into train and test data, preprocessing data, training model using Naive Bayes algorithm. Method used: Probability. Libraries used: Pandas, Numpy, Seaborn, Matplotlib etc.