"X = data_train.loc[:,'temp':'weather']\n", "The coefficient $R^2$ is defined as $(1 - u/v)$, where $u$ is the regression sum of squares $\\sum_i (y_{true,i} - y ...

This is the grader corresponding to the kinematic bicycle model notebook. Your solution should contain the history of vehicle inputs over the figure 8 trajectory as a Nx3 array. Please upload your ...