GitHub - parmeshwalunj/California_housing: This data is about California Housing Prices And you may see a lot of columns here, so these columns are about details about group of houses in a block Let's assume there are 100 blocks in a city So for each block the've calculated some statistical features out of a block median_income: Such as Median(statistics) of Income of people living a block median_house_value: Median(statistics) price of all the houses in a block. So, by using Univariate Linear Regression I have analysed the data and found the best fitting curve which would give the actual prediction price of the houses.

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This data is about California Housing Prices And you may see a lot of columns here, so these columns are about details about group of houses in a block Let's assume there are 100 blocks in a city So for each block the've calculated some statistical features out of a block median_income: Such as Median(statistics) of Income of people living a blo…

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