We come across many things where we apply simple linear equation to predict anything like suppose we know the price of 1 kg apples be it Rs 45 then to calculate for 10 kg apple we just follow a line equation Understanding Linear Regression 1.1 Analogy with real life Example Advantages and Disadvantages of Linear Regressionħ. Understand use of Linear Regression in feature importanceĦ. Python Code - Python implementation to check the assumption on housing prices modelĤ.Solution - Possible solutions so that assumptions hold true to implement LR.Check - Way to check particular assumption.Consequence - What will happen if particular assumption does not hold true ?.how well these variables can predict house price To create a linear model that quantitatively relates house prices with variables such as number of rooms, area, number of bathrooms, etc. To identify the variables affecting house prices, e.g. It wishes to use the data to optimize the sale prices of the properties based on important factors such as area, bedrooms, parking, etc. Problem Statement: Consider a real estate company that has a datasets containing the prices of properties in the Delhi region. Understand Uni-variate Multiple Linear Regression
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