Since its discovery in 2012, the Higgs boson has become a cornerstone of the Standard Model (SM), yet many of its properties remain under investigation. The ATLAS experiment at the Large Hadron Collider (LHC) is playing a crucial role in advancing our understanding of the Higgs sector through increasingly sophisticated analysis techniques. In this seminar, we will explore the precise measurement of Higgs boson properties and the impact of state-of-the-art analysis methods, including machine learning techniques, on these measurements. We will discuss strategies for determining key observables—such as mass, width, production cross-sections, decay branching ratios, and couplings to SM particles—emphasizing the role of differential kinematic distributions. These distributions not only provide stringent tests of the SM but also serve as a powerful tool to probe potential signs of new physics, such as anomalous Higgs interactions or contributions from undiscovered particles. By leveraging high-precision measurements and innovative statistical techniques, the LHC experiments continue to push the boundaries of Higgs physics, paving the way for future discoveries at the LHC and beyond.