Data Science, Causal Inference, Machine Learning, Optimization, Notes From Industry.
df_scoring_2['T'].max() * 1.2], "product_3": [df_scoring_3['T'].min() * 0.80, df_scoring_3['T'].max() * 1.2]} # Dictionary with response curve parameters parameters = {"product_1": [popt_1[0], popt_1[1]], "product_2": [popt_2[0], popt_2[1]], "product_3": [popt_3[0], popt_3[1]]} Next we set up the