GitHub - samir-m0hamed/Ice_Cream_Sales: Predicts ice cream sales based on temperature using Polynomial Regression. The model captures the non-linear relationship between temperature and sales, achieving R² ≈ 0.94 (train) and 0.89 (test). Includes data preprocessing, model training , Evaluation, and interactive results visualization.

Name		Name	Last commit message	Last commit date
Ice_cream selling data.csv		Ice_cream selling data.csv
Ice_cream_selling.ipynb		Ice_cream_selling.ipynb

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Predicts ice cream sales based on temperature using Polynomial Regression. The model captures the non-linear relationship between temperature and sales, achieving R² ≈ 0.94 (train) and 0.89 (test). Includes data preprocessing, model training , Evaluation, and interactive results visualization.

www.kaggle.com/datasets/mirajdeepbhandari/polynomial-regression

curve-fitting polynomial-features polynomial-regression r-squared scikit-learn

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