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ML model for USA housing prices. [visualizing the data, feature engineering, selecting, training and fine-tuning the model]

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[Python, Pandas, Matplotlib, Scikit-learn]

Used California census data to build a model of housing prices in the state. Went through the entire Data Science Pipeline of getting the data, visualizing the data, feature engineering, selecting, training and fine-tuning the model.

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ML model for USA housing prices. [visualizing the data, feature engineering, selecting, training and fine-tuning the model]

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