House prices prediction - Boston Housing

Objectives

Predict house prices through Linear Regression using a real data set with 2’930 observations and 82 variables.

Content

• Data preparation on coutinous, discrete, nominal and ordinal input features
  • EDA
  • Data cleaning
  • Feature engineering
  • Feature encoding

• Linear Regression model
  • Model fitting using Grid Search

For more details see GitHub ML projects - House prices prediction - Gregoire LAURENT.