How to Predict Housing Prices with Linear Regression?
The final objective is to estimate the cost of a certain house in a Boston suburb. In 1970, the Boston Standard Metropolitan Statistical Area provided the information. To examine and modify the data, we will use several techniques such as data pre-processing and feature engineering. After that, we'll apply a statistical model like regression model to anticipate and monitor the real estate market . Project Outline: EDA Feature Engineering Pick and Train a Model Interpret Conclusion EDA Before using a statistical model, the EDA is a good step to go through in order to: Recognize the data set Check to see if any information is missing. Find some outliers. To get more out of the data, add, alter, or eliminate some features. Importing the Libraries Recognize the data set Check to see if any information is missing. Find some outliers. To get more out of the data, add, alter, or eliminate some features. # Import the libraries #Dataframe/Numerical libraries import pandas as pd i...