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Part of Orient Bell Data Innovation Challenge, where a normalised RMSE leaderboard score of 99.968 was achieved.
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A regression analysis, where the predictive estimation of house prices were to be made based on the dataset of housing attributes provided as part of the Hackathon.
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Public Leaderboard rank of 9
In this notebook we have described and implemented methods through which we were able to generate our regression models for the prediction task. We have used a combination of supervised ML models and Neural networks to compare the results. Stacked Average modelling was also done for predictions.