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library. What this method does is:- It uses non-linear least squares estimate to fit the sigmoid function we defined above to the data points. from scipy.optimize import curve_fit popt, pcov = curve_fit(sigmoid, xdata, ydata) # popt are our new optimized parameters # pcov represents the covariance