Website which predicts the revenue generated by selling ice cream on a hot summer day . A linear regression model has been trained on a dataset where temperature is directly proportional to the revenue.
Libraries used : pandas , numpy,scikit-learn Error metrics used : r2 Score : 0.9852624019962258
The ML model is then integrated into a website.
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