updating readme

README.md

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-# Home-Pricing-Analysis
+## House Pricing Analysis
+In this document I give a brief intro about the project, what I found and info about the dataset I used 
+The Data Set:-
+I used the [Housing prices dataset from kaggle](https://www.kaggle.com/c/house-prices-advanced-regression-techniques)
+Attached is file that contains the description of the fields in the Data set and after cleaning it consists of 1199 rows and 62 columns 
+#### In the attached slides presentation I explained my findings :-
+- The most correlated numerical features with the Sales price are[ the overall quality of a house, its basement, its garage capacity , the ground living area and the garage area]
+- The most common neighborhoods are [NAmes, CollgCR,,Oldtown, Edwards and Somerst]
+- The most expensive neighborhoods are [StoneBr,NindgHT,NoRedge,Tember,Vedkeer]
+- The most common sale type is the [WD] sale type 
+- The most common sale condition is the[Normal] sale condition
+- There is a  positive linear relationship between the sale price and the area 
+- The relationship between the sale price, area and the zoning classification[ We can see that the [‘Residential Low Density’] classification zone is the most popular, most expensive and has the largest areas
+- The price of the houses related to the year the house was built in[there is no linear relationship between the building year and the price]