KaggleSomeshwar Rao Sattiraju

Predicting House Sales Prices Based On Various Factors

Various factors affect the Sale Price of houses , in this problem we are tasked to predict the Sales Price of a house based on various factors or attributes.

The Data Set is a large data set with 79 explanatory variables describing almost every aspect of residential homes in Iowa .

Problem Scenario

Correlation Matrix

Correlation of 24 Predictor variables (various factors of a house ) with Dependent variable ( House Sale’s Price )

Plotted correlation with condition (correlation greater than .325 or less then -.325)

These 24 variables satisfy the above condition and are chosen variables

<<<<<-Performing Data Wrangling

This code takes in data set from .csv file & reads all the data Dimentions: ( 1460 * 71)This code then converts categorical data into numeric

Continuation ->>>>>

Post conversion the converted data is written into a separate file.NA or corrupt values are removed & correlation of all predictor variables against dependent variable ( Sales Price ) needs to be produced

Results

The R Square value for the model to predict the House Sale’s Price is:

80.02%F-Statistics value is 183.4 , which

is high and much significant

Sale's Price Of The House = -338801.122 + 44.641*(LotFrontage) + 14350*(OverallQual) + 147.29*(YearBuilt) + 204.426*(YearRemodAdd) + 24.821*(MasVnrArea) -8423.37*(ExterQual) - 512.736*(Foundation) - 8343.79*(BsmtQual) + 18.21*(BsmtFinSF1) + 2.212*(TotalBsmtSF) - 1156.93*(HeatingQC) +6.539*(X1stFlrSF) + 33.956*(GrLivArea) - 1629.20*(FullBath) - 10201.50*(KitchenQual) +2387.47*(TotRmsAbvGrd) + 8123.94*(Fireplaces) - 412.45*(GarageType) - 146.46*(GarageYrBlt) - 793.66*(GarageFinish) + 13993.63*(GarageCars) + 7.60*(GarageArea) + 27.55*(WoodDeckSF)- 4.61*(OpenPorchSF)

Not Accurate, Though! , Predicted House Sales Price close to Actual Sales Price Of the House

Still Working On This Mode To Improve The Model Prediction Accuracy ………

Please Leave comments if you have some ideas on how to make the model predict closer to actual values!!