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Applying Machine Learning Models to Predict the Rent of Brazilian homes and Perform EDA

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EDA_ML_Rent_Brazil_House

Applying Machine Learning Models to Predict the Rent of Brazilian homes and Perform EDA

Using Public Dataset from Kaggle https://www.kaggle.com/rubenssjr/brasilian-houses-to-rent ,tried estabilishing correlation between different features such as if house is furnished or not, area, no. of floors, count of Bathrooms, etc. Out of the two files available in the dataset I used houses_to_rent_v2.csv . I divided dataset into two parts test and train for training and testing of machine learning models. out of all the machine learning models tried, Linear Regression stands out as the best. I used R2 Error as a method of evaluating accuracy.

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Applying Machine Learning Models to Predict the Rent of Brazilian homes and Perform EDA

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