  This study employs Bayesian analysis and machine learning techniques to
analyze the young open cluster NGC 6383 using data from Gaia DR3 and 2MASS. We
identified 254 probable cluster members through HDBSCAN based on proper motions
and determined the cluster's core and tidal radius. To perform this analysis,
we utilized an extension of Hamiltonian Monte Carlo, the No-U-Turn Sampler,
using the Bayesian library PyMC. Our results indicate a mean cluster age of $4
\pm 1$ Myr and a distance of $1.107 \pm 0.035$ kpc. The analysis reveals mass
segregation, especially among binary stars, and suggests that NGC 6383 is not
fully relaxed. We observed a well-defined main sequence and a population of
pre-main sequence stars, with a star formation range from $\sim 1$ to $6$ Myr,
indicating recent star formation activity.
