/project-1

Here I try to create a machine learning model which can be used for any housing company to predict important feature required for investment in that house

Primary LanguageJupyter Notebook

Predict important feature required for investment in the house by Housing Company

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.