Machine Learning, Data Science, Artificial Intelligence, Programming, Technology.
our model… Model evaluation… First, let’s split the data into a training and testing data set. msk = np.random.rand(len(df)) < 0.8 train_x = xdata[msk] test_x = xdata[~msk] train_y = ydata[msk] test_y = ydata[~msk] Next, we build the model using the training set to extract ideal params popt, pcov =