Cryptocurrency refers to a kind of money that exists in digital or virtual form and relies on encryption to ensure its security. Cryptocurrencies, unlike conventional fiat currencies such as the US Dollar or Euro, are decentralized and often function on a technology known as blockchain. Dogecoin is a widely embraced cryptocurrency that originated as a playful and meme-inspired kind of digital cash. Dogecoin has garnered distinct recognition in the realm of cryptocurrencies, mostly because to its comical inception and robust community. Nevertheless, the long-term viability and practicality of using it as a digital money continue to be topics of discussion and conjecture. This study analyzes a dataset pertaining to the widely-used cryptocurrency Dogecoin, using the XGBoost machine learning algorithm. The objective of this research was to discern recurring patterns and trends in the data that might provide valuable understanding of the actions of Dogecoin users and investors, as well as to formulate forecasts on forthcoming market developments.