Here I try to create a machine learning model which can be used by any housing company to predict important feature required for investment in that house .
Here I use "house_perchase.csv" data to train my model.
Firstly I did following process given as -: Exploratory data analysis(data cleaning,feature selection,removing outleir).
In this Model I use "Advanced regression-Lasso and Ridge regression algorithim" .I work on two problem statement which I state below:
- Which variables are significant in predicting the price of a house, and How well those variables describe the price of a house.
- Determine the optimal value of lambda for ridge and lasso regression.
I mention every process in my jupiter note book code file.