Notebook 7: Regression-DFT. This notebook uses precalculated physical-chemical descriptors previously computed by the user. These descriptors, along with corresponding target values, are then used for regression tasks. This type of descriptor is particularly useful to infer the underlying chemistry but can also be highly multicollinear. LASSOCV introduces a regularization term (L1) that shrinks the coefficients of multicollinear parameters to zero, offering a way to identify the descriptors that influence the model.