Simple machine learning model to predict the house price based on 1990 California Housing Prices dataset
Visualised the data using different libraries and found the correlation between attributes and house value
Used Root Mean Square Error and R2 for cost function
Prepared, cleaned and transformed data
Used different algorithms to model the data(Models used: Linear Regressor, Decision Tree Regressor, Random Forest Regressor)
Fine tuned the model using grid search
Final R2 value is 0.8237520853100778 and RMSE is 47924.939207330885
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Simple machine learning model to predict the house price based on 1990 California Housing Prices dataset
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