In an era of precision neutrino oscillation experiments using improved technology that generate large statistical samples, it is important to understand the properties of neutrino interactions on nuclei over a large volume of kinematic phase space. The MINERvA experiment, which utilizes the NuMI neutrino beam at Fermilab, measures cross sections across multiple materials ranging from helium to lead, and is able to compare results to models of these neutrino interactions. I will present double differential cross section measurements of charged current muon-neutrino interactions in hydrocarbon in two distinct neutrino beam energies, in variables of the longitudinal and transverse momenta of the muon. This result is advantageous for comparisons with theorists since it is done in well-defined easily measurable variables, and is able to highlight areas in which there are model deficiencies. Machine learning methods have been developed to more accurately determine which interactions occurred in each of our nuclear targets, which are being utilized to measure inclusive and deep inelastic scattering cross sections across multiple materials. Their performance will be discussed.