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format_name: percent +# format_version: '1.3' +# jupytext_version: 1.14.4 +# kernelspec: +# display_name: Python 3 (ipykernel) +# language: python +# name: python3 +# --- + +# %% [markdown] +# # Living Forest card costs + +# %% +import pandas as pd +from sklearn.linear_model import LinearRegression + +pd.options.display.max_columns = 150 +pd.options.display.max_rows = 150 + +# %load_ext nb_black +# %load_ext lab_black + +# %% [markdown] +# ## Data + +# %% +data = pd.read_csv("cards.csv", index_col="name") +data["flames"] = data["stage"] + 1 +data.shape + +# %% +data.sample(10) + +# %% [markdown] +# ## Model training + +# %% +elements = ["white", "sun", "water", "plant", "spiral", "lotus"] +X = data[elements] +y = data["price"] +X.shape, y.shape + +# %% +model = LinearRegression(fit_intercept=True) +model.fit(X, y) + +# %% +model.intercept_ + +# %% +for element, price in zip(elements, model.coef_): + print(f"{element}:\t{price:6.3f}") + +# %% [markdown] +# ## Over and underpriced cards 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