Machine Learning model to predict the price of a house taking a few parameters like crime rate, number of rooms etc. Uses a pre-existing dataset from the UCI ML repository for training the model
There's a training file- dragonrealestate.ipynb
There's also a testing file- ModelUsage.ipynb
This project helped me understand the basics of machine learning and got me a better understanding about regressors
Happy Coding!!
anirudhrealdeal/DragonRealEstate
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Machine Learning model to predict the price of a house taking a few parameters like crime rate, number of rooms etc. Uses a pre-existing dataset from the UCI ML repository for training the model.
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