Machine Learning, Data Science, Deep Learning, Artificial Intelligence, Regression.
ydata is minimized. popt are our optimized parameters. # Lets normalize our data xdata =x_data/max(x_data) ydata =y_data/max(y_data) from scipy.optimize import curve_fit popt, pcov = curve_fit(sigmoid, xdata, ydata) # Now we plot our resulting regression model. x = np.linspace(1960, 2015, 55) x =